Edgar J Lobaton
Wearable Technologies, Pattern Recognition, Machine Learning, Computer Vision, Robotics
Dr. Lobaton received the B.S. degree in mathematics and the B.S. degree in electrical engineering from Seattle University in 2004. He completed his Ph.D. in electrical engineering and computer sciences from the University of California, Berkeley in 2009. He is currently an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University. Dr. Lobaton joined the department in 2011. His research focuses on the development of pattern recognition, estimation theory, and statistical and topological-data-analysis tools applied to wearable health monitoring, robotics and computer vision. He was awarded the NSF CAREER Award in 2016. Prior to joining NCSU, he was awarded the 2009 Computer Innovation Fellows post-doctoral fellowship award and conducted research in the Department of Computer Science at the University of North Carolina at Chapel Hill. He was also engaged in research at Alcatel-Lucent Bell Labs in 2005 and 2009.
Works (95)
Updated: April 16th, 2024 05:01
2024 journal article
Evaluating Bacterial Nanocellulose Interfaces for Recording Surface Biopotentials from Plants
Sensors.
www.mdpi.com (publisher PDF)
Source: ORCID
Added: April 15, 2024
2023 article
A Wearable System for Continuous Monitoring and Assessment of Speech, Gait, and Cognitive Decline for Early Diagnosis of ADRD
2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC.
TL;DR:
This paper presents a low cost and low power wearable system custom designed to track the trends in speech, gait, and cognitive stress while also considering the important human factor needs such as privacy and compliance.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: February 26, 2024
2023 article
Adolescent Asthma Monitoring: A Preliminary Study of Audio and Spirometry Modalities
2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC.
TL;DR:
Deep learning techniques are explored to improve forecasting of forced expiratory volume in one second (FEV1) by using audio data from participants and test whether auditory sleep disturbances are correlated with poorer asthma outcomes.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: February 26, 2024
2023 journal article
An Overview of and Advances in Modeling and Interoperability of Deep Neural Sleep Staging
Physiologia.
TL;DR:
An improvement in performance up to 12% on standard datasets over the last 5 years is identified and the causes for these trends seem to be caused by incorporating new architectural components, such as the use of transformers and contrastive learning.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: ORCID
Added: February 1, 2024
2023 article
Conformal Micropatterned Organic-Metal Electrodes for Physiological Recording
2023 IEEE SENSORS.
author keywords: conformal electrodes; biopotential recording; microfabrication; photolithography; PEDOT:PSS
TL;DR:
CMOM electrodes were characterized then evaluated in vivo against commercial-off-the-shelf electrodes and PEDOT:PSS coating found to reduce the overall impedance in each electrode variant, resulting in a >97% decrease in impedance at low frequencies.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: February 1, 2024
2023 journal article
Rapid Drought Stress Detection in Plants Using Bioimpedance Measurements and Analysis
IEEE Transactions on AgriFood Electronics.
Contributors: J. Reynolds n , M. Taggart n, D. Martin n, n , A. Cardoso n, M. Daniele n, A. Bozkurt n
TL;DR:
It is demonstrated that bioimpedance measurements reflect the physiological changes in live plant tissue with induced alterations in their environmental conditions, and can function as a phenotyping tool for continuous and real time monitoring of plant stress to allow the development of strategies to prevent damage from environmental stresses such as drought.
(via Semantic Scholar)
Source: ORCID
Added: December 12, 2023
2023 journal article
Robust Cough Detection With Out-of-Distribution Detection
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 27(7), 3210–3221.
author keywords: Cough detection; audio classification; out-of-distribution; bio-signal processing; machine learning
TL;DR:
The incorporation of OOD detection techniques improves cough detection performance by a significant margin and provides a valuable solution to real-world acoustic cough detection problems.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: April 6, 2023
2023 journal article
Towards rapid weight assessment of finishing pigs using a handheld, mobile RGB-D camera
BIOSYSTEMS ENGINEERING, 226, 155–168.
author keywords: Precision livestock farming; Deep learning; Weight prediction; Depth imaging
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: January 22, 2023
2023 chapter
Wearable Cyberphysical Systems for Biomedicine
In Encyclopedia of Sensors and Biosensors (pp. 63–85).
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(OpenAlex)
Source: ORCID
Added: February 10, 2023
2022 article
Efficient imaging and computer vision detection of two cell shapes in young cotton fibers
Graham, B. P., Park, J., Billings, G. T., Hulse-Kemp, A. M., Haigler, C. H., & Lobaton, E. (2022, November 26). APPLICATIONS IN PLANT SCIENCES, Vol. 11.
author keywords: cotton diversity; fiber morphogenesis; Gossypium barbadense; Gossypium hirsutum; light microscopy; machine learning
TL;DR:
Improved semi‐automated imaging methods for young cotton fibers and a novel machine learning algorithm for the rapid detection of tapered or hemisphere fibers in homogeneous or mixed populations are developed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger
(Web of Science)
13. Climate Action
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 28, 2022
2022 journal article
Enhancing Inference on Physiological and Kinematic Periodic Signals via Phase-Based Interpretability and Multi-Task Learning
INFORMATION, 13(7).
author keywords: multi-task learning; interpretability; synthetic signal generation; physiological signals; periodic signals; ECG; IMU; deep learning; forecasting; classification
TL;DR:
This work introduces a methodology for improving inference on physiological and kinematic signals by incorporating phase-based interpretability and other inference tasks into a multi-task framework applied to a generative model and introduces an interpretable unit in a neural network, which imposes an interpreted structure on the model.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 8, 2022
2022 journal article
Forabot: Automated Planktic Foraminifera Isolation and Imaging
GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, 23(12).
author keywords: foraminifera; automation; classification
TL;DR:
The presented work describes Forabot, an open‐source system which can physically manipulate individual foraminifera for imaging and isolation with minimal human interaction, and is able to be built by researchers for a low cost, effectively manipulate foram with few mistakes, provide quality images for future research, and classify the species of imaged forams.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: February 10, 2023
2022 journal article
Fusion of Human Gaze and Machine Vision for Predicting Intended Locomotion Mode
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 30, 1103–1112.
author keywords: Wearable robots; Feature extraction; Point cloud compression; Machine vision; Cameras; Legged locomotion; Visualization; Human gaze; machine vision; intent recognition; wearable robot; deep learning
MeSH headings : Algorithms; Humans; Intention; Locomotion; Lower Extremity; Walking
TL;DR:
A novel system that fuses the human gaze and machine vision for locomotion intent recognition of lower limb wearable robots is developed, showing high accuracy of intent recognition and reliable decision-making on locomotion transition with adjustable lead time.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: May 4, 2022
2022 journal article
Improving Performance and Quantifying Uncertainty of Body-Rocking Detection Using Bayesian Neural Networks
Information, 13(7), 338.
author keywords: Bayesian Neural Networks; uncertainty quantification; stereotypical motor movement; body rocking
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: July 13, 2022
2022 article
Real-Time Monitoring of Plant Stalk Growth Using a Flexible Printed Circuit Board Sensor
2022 IEEE SENSORS.
author keywords: Plant growth; circumferential sensor; mechanical sensing; multiplexer; crop monitoring; maize; electrode array
UN Sustainable Development Goal Categories
1. No Poverty
(Web of Science)
2. Zero Hunger
(Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: February 27, 2023
2022 journal article
Reliable Vision-Based Grasping Target Recognition for Upper Limb Prostheses
IEEE TRANSACTIONS ON CYBERNETICS, 52(3), 1750–1762.
author keywords: Grasping; Uncertainty; Prosthetics; Task analysis; Target recognition; Bayes methods; Prediction algorithms; Bayesian deep learning (BDL); grasping strategy; reliable computer vision; upper limb prosthesis
MeSH headings : Arm; Artificial Limbs; Bayes Theorem; Hand Strength; Humans; Robotics; Upper Extremity
TL;DR:
A novel, reliable vision-based framework to assist upper limb prosthesis grasping during arm reaching using Bayesian deep learning (BDL) and a probability calibration network was developed to fuse the uncertainty measures into one calibrated probability for online decision making.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 11, 2020
2022 journal article
Static posturography as a novel measure of the effects of aging on postural control in dogs
PLOS ONE, 17(7).
Ed(s): R. Evans
MeSH headings : Acceleration; Aging; Animals; Arthralgia; Dogs; Postural Balance; Reproducibility of Results
TL;DR:
It is found that pressure sensitive walkway systems are a reliable tool to evaluate postural sway in dogs; and that postural swayed is affected by morphometric parameters and increases with age and joint pain.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: September 12, 2022
2021 journal article
Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery
Computers and Electronics in Agriculture, 182, 106011.
Contributors: S. Haque n, n , N. Nelson n , G. Yencho n, K. Pecota n , R. Mierop n, M. Kudenov n, M. Boyette n, C. Williams n
author keywords: Crop phenotyping; Machine learning; Computer vision
UN Sustainable Development Goal Categories
2. Zero Hunger
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: March 18, 2021
2021 article
Efficient Environmental Context Prediction for Lower Limb Prostheses
Zhong, B., Silva, R. L., Tran, M., Huang, H., & Lobaton, E. (2021, June 7). IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, Vol. 52.
Contributors: B. Zhong n , R. Silva n, M. Tran n, H. Huang n & n
author keywords: Cameras; Wearable robots; Uncertainty; Neural networks; Real-time systems; Sensors; Hardware; Bayesian neural network (BNN); efficient deep learning system; environmental context prediction; prostheses; uncertainty quantification
TL;DR:
An uncertainty-aware frame selection strategy that can dynamically select frames according to lower limb motion and uncertainty captured by Bayesian neural networks (BNNs) for environment prediction is developed and extended to the situation of multimodality fusion.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: June 10, 2021
2021 journal article
Enhancing the morphological segmentation of microscopic fossils through Localized Topology-Aware Edge Detection
AUTONOMOUS ROBOTS, 45(5), 709–723.
author keywords: Edge detection; Topological structure; Morphological segmentation
TL;DR:
A homology-based detector of local structural difference between two edge maps with a tolerable deformation is employed as a new criterion for the training and design of data-driven approaches that focus on enhancing these structural differences.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
14. Life Below Water
(OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 30, 2020
2021 journal article
Environmental Context Prediction for Lower Limb Prostheses With Uncertainty Quantification
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 18(2), 458–470.
Contributors: B. Zhong n , R. Silva n, M. Li n, H. Huang n & n
author keywords: Uncertainty; Neural networks; Bayes methods; Measurement uncertainty; Cameras; Microsoft Windows; Bayesian neural network (BNN); environmental context prediction; prosthesis; uncertainty quantification
TL;DR:
A novel vision-based context prediction framework for lower limb prostheses to simultaneously predict human’s environmental context for multiple forecast windows by leveraging the Bayesian neural networks (BNNs) and producing a calibrated predicted probability for online decision-making.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: May 28, 2020
2021 review
Fashion Recommendation Systems, Models and Methods: A Review
[Review of ]. INFORMATICS-BASEL, 8(3).
author keywords: fashion recommendation system; e-commerce; filtering techniques; algorithmic models; performance
TL;DR:
This paper is the first scholarly article to review the state-of-the-art fashion recommendation systems and the corresponding filtering techniques and explores various potential models that could be implemented to developfashion recommendation systems in the future.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: July 27, 2021
2021 article
Investigating the Relationship between Cough Detection and Sampling Frequency for Wearable Devices
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), pp. 7103–7107.
MeSH headings : Algorithms; Cough / diagnosis; Humans; Neural Networks, Computer; Reproducibility of Results; Wearable Electronic Devices
TL;DR:
This paper presents a new cough detection technique and preliminary analysis on the trade-off between detection accuracy and obfuscation of speech for privacy, and indicates that, using a publicly available dataset, it can sample signals at 750 Hz while still maintaining a sensitivity above 90%, suggested to be sufficient for clinical monitoring.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 25, 2022
2021 article
Simultaneous Localization of Biobotic Insects using Inertial Data and Encounter Information
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), pp. 4649–4653.
MeSH headings : Animals; Cockroaches; Disasters; Insecta; Locomotion
TL;DR:
An inertial navigation system based on machine learning modules that is capable of localizing groups of G. portentosa carrying thorax-mounted inertial measurement units and uses the agents’ encounters with one another as signals of opportunity to increase tracking accuracy is presented.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 25, 2022
2021 journal article
Toward Automated Analysis of Fetal Phonocardiograms: Comparing Heartbeat Detection from Fetal Doppler and Digital Stethoscope Signals
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 975–979.
Event: 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) at Mexico on November 1-5, 2021
MeSH headings : Female; Fetal Monitoring; Heart Rate; Humans; Neural Networks, Computer; Pregnancy; Signal Processing, Computer-Assisted; Stethoscopes
TL;DR:
This work implemented two neural network architectures for heartbeat detection on a set of fetal phonocardiogram signals captured using fetal Doppler and a digital stethoscope, and shows a Convolutional Neural Network is the most efficient at identifying the S1 waveforms in a heartbeat.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 25, 2022
2021 article
Towards Continuous Plant Bioimpedance Fitting and Parameter Estimation
2021 IEEE SENSORS.
author keywords: bioimpedance parameter extraction; equivalent circuit modelling; precision agriculture; cyberphysical systems
TL;DR:
This study developed a software pipeline to support impedance sensing applications and applied this to track longitudinal consistent bioimpedance data from the V4 leaf midrib in maize plants, demonstrating that the analysis of an example longitudinal dataset was able to reveal a time series for parameter fitting.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger
(OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: February 28, 2022
2020 journal article
A Pipeline for Adaptive Filtering and Transformation of Noisy Left-Arm ECG to Its Surrogate Chest Signal
Electronics, 9(5), 866.
author keywords: adaptive filtering; wearable ECE armband; filter optimization; left-arm ECG; single-lead ECG; ECG transformation
TL;DR:
A transformation framework to convert the denoised left-arm and chest ECG signals to their low-MSE and high-SNR surrogate chest signals was proposed, getting one step closer to making use of the left- arm ECG in clinical cardiac evaluations.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: ORCID
Added: May 28, 2020
2020 journal article
An integrated UGV-UAV system for construction site data collection
Automation in Construction, 112, 103068.
Contributors: K. Asadi n, A. Kalkunte Suresh n, A. Ender n, S. Gotad n, S. Maniyar n, S. Anand n, M. Noghabaei n , K. Han n , n , T. Wu n
TL;DR:
This paper designs a UAV-UGV team that integrates two custom-built mobile robots that is capable of autonomous navigation, and the performance of the system demonstrates the feasibility of developing and deploying a robust and automated data collection system for construction applications in the near future.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: ORCID
Added: April 18, 2020
2020 journal article
Drought Stress Detection Using Low-Cost Computer Vision Systems and Machine Learning Techniques
IT Professional, 22(3), 27–29.
author keywords: Agriculture; Stress; Machine learning; Computer vision; Loss measurement; Stress measurement; Cameras
TL;DR:
A low-cost automated drought detection system using computer vision coupled with machine learning algorithms that document the drought response in corn and soybeans field crops and predicts the drought status of crop plants with more than 80% accuracy.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger
(Web of Science)
13. Climate Action
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: June 22, 2020
2020 conference paper
Feasibility Study of Water Stress Detection in Plants using a High-Throughput Low-Cost System
2020 IEEE SENSORS.
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation
(OpenAlex)
13. Climate Action
(Web of Science)
15. Life on Land
(Web of Science)
Source: ORCID
Added: February 10, 2023
2020 journal article
Localization of Biobotic Insects Using Low-Cost Inertial Measurement Units
SENSORS, 20(16).
author keywords: biobots; cyborg insects; inertial navigation; machine learning
MeSH headings : Animals; Cockroaches; Disasters; Insecta; Locomotion; Robotics
TL;DR:
A data-driven inertial navigation system that is capable of localizing cockroaches in areas where GPS is not available and can achieve centimeter-level accuracy is presented.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
13. Climate Action
(OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: September 28, 2020
2020 article proceedings
Low-cost Smart Camera System for Water Stress Detection in Crops
Presented at the 2020 IEEE SENSORS.
Event: 2020 IEEE SENSORS
TL;DR:
The development of a smart camera system to detect drought stress in corn and soybean crops and achieves an accuracy of 74% with the embedded machine learning algorithm when classifying water stress in soybeans is outlined.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger
(Web of Science)
13. Climate Action
(Web of Science)
Sources: ORCID, Crossref, NC State University Libraries
Added: February 10, 2023
2020 conference paper
Preliminary Assessment of Human Biological Responses to Low-level Ozone
2020 IEEE SENSORS.
TL;DR:
Results indicate an increment in mean heart rate in three out of four test subjects when exposed to ozone and observe that changes inmean heart rate has a positive correlation with changes in lung function and a negative correlation withChanges in neutrophil count.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2019 conference paper
A Feasibility Study of a Wearable Real-Time Notification System for Self-Awareness of Body-Rocking Behavior
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
MeSH headings : Algorithms; Awareness; Computer Systems; Feasibility Studies; Humans; Stereotypic Movement Disorder / diagnosis; Wearable Electronic Devices
TL;DR:
A platform for real-time annotation and detection using wireless inertial sensors and an embedded device and the feasibility of a real- time feedback system based on a proof of concept algorithm and the necessary computation resources to execute it is shown.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: ORCID
Added: February 10, 2023
2019 journal article
Activity-Aware Wearable System for Power-Efficient Prediction of Physiological Responses
SENSORS, 19(3).
author keywords: wearable health; physiological prediction; activity clustering; multi-modal data; Body Sensor Networks; sensor selection; power efficient sensing
MeSH headings : Accelerometry / statistics & numerical data; Actigraphy / instrumentation; Cluster Analysis; Electric Power Supplies / economics; Humans; Telemedicine / economics; Wearable Electronic Devices / economics; Wearable Electronic Devices / standards
TL;DR:
This article proposes a method for context aware dynamic sensor selection for power optimized physiological prediction using multi-modal wearable data streams, and finds the optimal reduced set of groups of sensor features, in turn reducing power usage by duty cycling these and optimizing prediction accuracy.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
7. Affordable and Clean Energy
(OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 18, 2019
2019 journal article
Automated species-level identification of planktic foraminifera using convolutional neural networks, with comparison to human performance
MARINE MICROPALEONTOLOGY, 147, 16–24.
author keywords: Foraminifera; Identification; Automation; Artificial intelligence; Neural network
TL;DR:
Using machine learning techniques to train convolutional neural networks to identify six species of extant planktic foraminifera that are widely used by paleoceanographers, and to distinguish the six species from other taxa, demonstrates that the approach can provide a versatile ‘brain’ for an eventual automated robotic picking system.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 15, 2019
2019 conference paper
Gaze Fixation Comparisons Between Amputees and Able-bodied Individuals in Approaching Stairs and Level-ground Transitions: A Pilot Study
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 3163–3166.
Contributors: M. Li n, B. Zhong n, Z. Liu n, I. Lee n, B. Fylstra n, n , H. Huang n
Event: 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
MeSH headings : Amputees; Artificial Limbs; Biomechanical Phenomena; Eye Movement Measurements / instrumentation; Fixation, Ocular; Gait; Humans; Pilot Projects
TL;DR:
The results presented that, unlike the able-bodied population, amputees had most of their fixations directed on the transition region prior to new terrains that showed an increased need for visual information during transition regions before navigation on stairs than that before navigation onto level-ground.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
14. Life Below Water
(OpenAlex)
Sources: ORCID, Crossref, NC State University Libraries
Added: January 13, 2020
2019 journal article
LNSNet: Lightweight Navigable Space Segmentation for Autonomous Robots on Construction Sites
Data, 4(1), 40.
author keywords: efficient real-time segmentation; embedded platform; autonomous navigation in construction; autonomous data collection
TL;DR:
An efficient semantic segmentation method named LNSNet (lightweight navigable space segmentation network) that can run on embedded platforms to determinenavable space in real-time and demonstrates the effectiveness and efficiency that are necessary for the future development of the autonomous robotics systems.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(Web of Science)
Sources: Crossref, ORCID, NC State University Libraries
Added: March 18, 2019
2019 conference paper
Real-Time Scene Segmentation Using a Light Deep Neural Network Architecture for Autonomous Robot Navigation on Construction Sites
Computing in Civil Engineering 2019.
TL;DR:
This paper presents a light and efficient deep neural network architecture to run on an embedded platform in real-time for autonomous robotics systems and suggests possible improvements that could make the model even more efficient.
(via Semantic Scholar)
Source: ORCID
Added: May 19, 2020
2019 conference paper
Signal Quality for RR Interval Prediction on Wearable Sensors
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
MeSH headings : Adult; Artifacts; Electrocardiography; Heart Rate; Humans; Male; Signal-To-Noise Ratio; Wearable Electronic Devices
TL;DR:
The impact of including signal quality on predictive models for RR intervals in a real world setting is compared.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: ORCID
Added: February 10, 2023
2019 conference paper
Vision-Based Obstacle Removal System for Autonomous Ground Vehicles Using a Robotic Arm
Computing in Civil Engineering 2019.
TL;DR:
A mobile UGV equipped with a stereo camera and a robotic arm that can remove obstacles along the UGV's path is presented, serving as one of the enabling factors for developing an autonomous UGV with various construction operating applications.
(via Semantic Scholar)
Source: ORCID
Added: May 19, 2020
2018 conference paper
A Framework for Physiological Response Prediction with Joint Activity State optimization
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
MeSH headings : Activities of Daily Living; Exercise; Heart Rate; Humans; Linear Models; Respiratory Rate
TL;DR:
This paper introduces a framework that identifies the state of an individual based on their activity, trains predictive models for their physiological response within these states, and jointly optimizes for the states and the models.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2018 conference paper
Building an Integrated Mobile Robotic System for Real-Time Applications in Construction
Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC).
TL;DR:
This paper proposes an integrated robotic computer vision system, which generates a real-world spatial map of the obstacles and traversable space present in the environment in near real-time, and presents the hardware utilization and performance of the aforementioned system for three different outdoor environments, which represent the applicability of this pipeline to diverse outdoor scenes in nearreal-time.
(via Semantic Scholar)
Source: ORCID
Added: December 16, 2018
2018 conference paper
Prediction of Physiological Response over Varying Forecast Lengths with a Wearable Health Monitoring Platform
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
MeSH headings : Heart Rate; Humans; Regression Analysis; Respiratory Rate; Support Vector Machine; Wearable Electronic Devices
TL;DR:
Results reveal that including other physiological responses and activity information captured by inertial measurements in the regression model improves the breathing rate prediction accuracy.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2018 journal article
Vision-based integrated mobile robotic system for real-time applications in construction
Automation in Construction, 96, 470–482.
author keywords: Real-time integrated robotics; Machine vision; SLAM; Context awareness
TL;DR:
This paper proposes a mobile robotic platform that incorporates a stack of embedded platforms with integrated Graphical Processing Units (GPUs) to demonstrate the robustness and feasibility of developing and deploying an autonomous system in the near future.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(Web of Science; OpenAlex)
Sources: Crossref, ORCID, NC State University Libraries
Added: December 16, 2018
2018 conference paper
Visual Terrain Identification and Surface Inclination Estimation for Improving Human Locomotion with a Lower-Limb Prosthetic
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018-July, 1817–1820.
Contributors: J. Diaz, R. Da Silva n, B. Zhong n, H. Huang* & n
Event: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
MeSH headings : Amputees; Artificial Limbs; Humans; Locomotion; Lower Extremity
TL;DR:
This work developed a terrain identification and surface inclination estimation system for a prosthetic leg using visual and inertial sensors and built a dataset from which images with high sharpness are selected using the IMU signal.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Sources: ORCID, Crossref, NC State University Libraries
Added: January 14, 2020
2017 conference paper
A comparative study of image classification algorithms for Foraminifera identification
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 3199–3206.
TL;DR:
A foram identification pipeline is proposed to automatic identify forams based on computer vision and machine learning techniques, and the classification algorithms provide competitive results when compared to human experts labeling of the data set.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water
(OpenAlex)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2017 journal article
A framework for mapping with biobotic insect networks: From local to global maps
Robotics and Autonomous Systems, 88, 79–96.
TL;DR:
Simulation and experimental results with biologically inspired robotic platform are presented to illustrate and verify the correctness of the approach, which provides building blocks for SLAM with biobotic insects.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2017 conference paper
A study on motion mode identification for cyborg roaches
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
TL;DR:
The ability to accurately detect the movement state of Madagascar hissing cockroaches equipped with a custom board containing a five degree of freedom inertial measurement unit shows promise for future work on cockroach motion mode identification and localization.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Source: ORCID
Added: February 10, 2023
2017 journal article
Activity-Aware Physiological Response Prediction Using Wearable Sensors
Inventions, 2(4), 32.
author keywords: time series analysis; physiological parameter forecasting; cluster analysis; multi-modal data
TL;DR:
This work focuses on forecasting physiological responses in dynamic scenarios where individuals are performing exercises and complex activities of daily life, and observes that activity clustering does improve the performance in the proposed methodology when predicting physiological response across modalities.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Crossref, ORCID, NC State University Libraries
Added: June 15, 2019
2017 conference paper
Biobotic motion and behavior analysis in response to directional neurostimulation
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
TL;DR:
This study presents preliminary results for motion behavior analysis of Madagascar hissing cockroach biobots subject to stochastic and periodic neurostimulation pulses corresponding to randomly applied right and left turn, and move forward commands and proposes an unguided search strategy based stimulation profile designed for exploration of unknown environments.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2017 conference paper
Coarse-to-fine foraminifera image segmentation through 3D and deep features
2017 IEEE Symposium Series on Computational Intelligence (SSCI).
TL;DR:
A learning-based edge detection pipeline is proposed, using a coarse-to-fine strategy, to extract the vague edges from foraminifera images for segmentation using a relatively small training set and has the potential to provide useful features for species identification and other applications such as morphological study of foraminifa shells and foraminifiera dataset labeling.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water
(OpenAlex)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2017 conference paper
Emotion recognition with facial expressions and physiological signals
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1170–1177.
TL;DR:
A temporal information preserving multi-modal emotion recognition framework based on physiological and facial expression data streams that significantly improves the emotion recognition performance when physiological signals are used and the best performance is achieved when fusing facial expressions and physiological data.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2017 conference paper
Energy-efficient activity recognition via multiple time-scale analysis
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1466–1472.
TL;DR:
This work proposes a novel power-efficient strategy for supervised human activity recognition using a multiple time-scale approach, which takes into account various window sizes, and shows that the proposed approach Sequential Maximum-Likelihood achieves high F1 score across all activities while providing lower power consumption than the standard Maximum- likelihood approach.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2017 journal article
Geometric Learning and Topological Inference With Biobotic Networks
IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 3(1), 200–215.
author keywords: Biobotic insects; emergency response; estimation; manifold learning; mapping; topological pattern recognition
TL;DR:
This study considers agents mimicking motion behaviors of cyborg insects, known as biobots, and exploit coordinate-free local interactions among them to infer geometric and topological information about the environment, under minimal sensing and localization constraints.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2017 conference paper
Obstacle detection in outdoor scenes based on multi-valued stereo disparity maps
2017 IEEE Symposium Series on Computational Intelligence (SSCI).
TL;DR:
This paper proposes a methodology for robust obstacle detection in outdoor scenes for autonomous driving applications using a multi-valued stereo disparity approach that can recover the correct structure of obstacles on the scene when traditional estimation approaches fail.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2017 conference paper
Robust trajectory-based density estimation for geometric structure recovery
2017 25th European Signal Processing Conference (EUSIPCO), 1210–1214.
TL;DR:
This work proposes a method to both quickly and robustly extract geometric information from trajectory data and finds an improvement in performance over the current practice in that the method is able to extract only the salient data and ignore trajectory outliers.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2017 conference paper
Speed estimation based on gait analysis for biobotic agents
2017 IEEE SENSORS.
TL;DR:
It is proposed that the distinctive rocking motion present in the gait of some biobotic agents can be used to directly compute the speed of the agent from the inertial measurements, bypassing the need to integrate the speed from the inertia sensors.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2016 journal article
A Biobotic Distributed Sensor Network for Under-Rubble Search and Rescue
COMPUTER, 49(5), 38–46.
TL;DR:
A video in which authors Alper Bozkurt, Edgar Lobaton, and Mihail Sichitiu demonstrate the acoustic steering of roach biobots to search for disaster victims trapped under rubble.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2016 journal article
A LAG FUNCTIONAL LINEAR MODEL FOR PREDICTION OF MAGNETIZATION TRANSFER RATIO IN MULTIPLE SCLEROSIS LESIONS
Annals of Applied Statistics, 10(4), 2325–2348.
author keywords: Functional data analysis; functional linear model; magnetization transfer ratio; image analysis
TL;DR:
The model facilitates the use of commonly acquired imaging modalities to estimate MTR within lesions, and outperforms cross-sectional models that do not account for temporal patterns of lesion development and repair.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2016 conference paper
Action classification from motion capture data using topological data analysis
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
TL;DR:
This paper proposes a novel framework for activity recognition from 3D motion capture data using topological data analysis (TDA), and proposes a feature extraction method from persistence diagrams in order to generate robust low dimensional features used for classification of different activities.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2016 conference paper
Characterization of RSS variability for biobot localization using 802.15.4 radios
2016 ieee topical conference on wireless sensors and sensor networks (wisnet), 1–3.
TL;DR:
This paper investigates RSS variability and its suitability for biobotic localization of mobile sensor nodes in the future.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action
(OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2016 conference paper
Comparing wearable devices with wet and textile electrodes for activity recognition
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 3539–3542.
MeSH headings : Artifacts; Electrocardiography / instrumentation; Electrocardiography / methods; Electrodes; Equipment Design; Humans; Muscle, Skeletal / physiology; Principal Component Analysis; Signal Processing, Computer-Assisted; Textiles
TL;DR:
It is observed that signals from the dry textile electrodes introduce less artifacts associated with muscle activation, so it is possible to obtain good performance for both the wet and dry electrodes.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2016 article
Consensus-Based Image Segmentation via Topological Persistence
PROCEEDINGS OF 29TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, (CVPRW 2016), pp. 1050–1057.
TL;DR:
A new approach to capture the consensus of information from a set of segmentations generated by varying parameters of different algorithms is proposed and a robust segmentation is obtained with the detection of certain segmentation curves guaranteed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2016 conference paper
Hierarchical activity clustering analysis for robust graphical structure recovery
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
TL;DR:
The key innovations presented in this paper include the hierarchical characterization of the activities over a temporal parameter as well as the characterization and parameter selection based on stability of the results using persistence analysis.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2016 conference paper
Preliminary statistical assessment towards characterization of biobotic control
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2184–2187.
MeSH headings : Animals; Behavior, Animal; Bionics; Cockroaches / physiology; Electric Stimulation; Robotics
TL;DR:
Initial efforts for statistical assessment of the angular response of roach biobots to the applied bioelectrical stimulus are presented to help understand the effect of each stimulation parameter individually or collectively and eventually reach reliable and consistent biobotic control suitable for real life scenarios.
(via Semantic Scholar)
Sources: ORCID, NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2015 journal article
Biobotic Insect Sensor Networks for Search and Rescue
Journal of Homeland Defense & Security Information Analysis Center, 2(2).
Source: NC State University Libraries
Added: July 10, 2019
2015 conference paper
Exploration and topological mapping with Hexbugs
Proceedings of the 14th International Conference on Information Processing in Sensor Networks.
author keywords: Topological Mapping; Swram Robotics; Cyborg Insect Networks
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: ORCID
Added: February 10, 2023
2015 article
Non-Rigid Image Registration under Non-Deterministic Deformation Bounds
(E. Romero & N. Lepore, Eds.). 10TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION PROCESSING AND ANALYSIS, Vol. 9287.
Ed(s): E. Romero & N. Lepore
author keywords: Non-rigid image registration; Lipschitz deformation; Uncertainty quantification
TL;DR:
An approach for identifying point correspondences with zero false-negative rate and high precision is introduced under the assumption that two images of the same anatomic structure are related via a Lipschitz non-rigid deformation (the registration map).
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2015 conference paper
Robust multi-target tracking in outdoor traffic scenarios via persistence topology based robust motion segmentation
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 805–809.
TL;DR:
This paper presents a motion segmentation based robust multi-target tracking technique for on-road obstacles that uses depth imaging information, and integrates persistence topology for segmentation and min-max network flow for tracking.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2014 article
Biobotic Insect Swarm based Sensor Networks for Search and Rescue
(I. Kadar, Ed.). SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXIII, Vol. 9091.
Ed(s): I. Kadar
author keywords: Insect biobots; Seach and rescue; Neural engineering; Swarm robotics; Topological mapping; Sensor networks
TL;DR:
This work has benefitted from recent developments in neural engineering and neuromuscular stimulation research to fuse the locomotory advantages of insects with the latest developments in wireless networking technologies to enable biobotic insect agents to function as search-and-rescue agents.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2014 conference paper
Manifold learning approach to curve identification with applications to footprint segmentation
2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP).
TL;DR:
This paper forms the problem of identification of the boundary of the footprint as a pattern recognition problem of a stochastic process over a manifold, which has other applications on segmentation of biological tissue for medical applications and tracking of extreme weather patterns.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land
(OpenAlex)
Source: ORCID
Added: February 10, 2023
2014 conference paper
Mapping of unknown environments using minimal sensing from a stochastic swarm
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 3842–3849.
TL;DR:
A robust approach to obtain a topological map of an unknown environment using encounter information from a swarm of agents following a stochastic motion model via the use of tools from topological data analysis is proposed.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2014 conference paper
Poster abstract: Cyborg-insect networks for mapping of unknown environments
2014 acm/ieee international conference on cyber-physical systems (iccps), 216–216.
TL;DR:
This work proposes a robust approach to obtain a topological map of an unknown environment using the coordinate free sensory data obtained from these cyborg-insect networks, and takes advantage of the natural behavior of insects in order to estimate aTopological model of the environment based only on neighbor-to-neighbor interactions.
(via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2014 conference paper
Robust obstacle segmentation based on topological persistence in outdoor traffic scenes
2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS).
TL;DR:
A new methodology for robust segmentation of obstacles from stereo disparity maps in an on-road environment is presented and performs a topological persistence analysis on the constructed occupancy map to identify the regions that are most persistent.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Source: ORCID
Added: February 10, 2023
2014 conference paper
WolfBot: A distributed mobile sensing platform for research and education
Proceedings of the 2014 Zone 1 Conference of the American Society for Engineering Education.
TL;DR:
The WolfBot platform is introduced which offers a balance between capabilities, accessibility, cost and an open-design and experiments analyzing its computer-vision capabilities, power consumption, and system integration are provided.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2013 journal article
A Low-Bandwidth Camera Sensor Platform with Applications in Smart Camera Networks
ACM TRANSACTIONS ON SENSOR NETWORKS, 9(2).
author keywords: Algorithms; Wireless Sensor Networks; Camera Sensor Architecture
TL;DR:
The efforts to build a low-bandwidth wireless camera network platform, called CITRIC, and its applications in smart camera networks are provided, and concrete research results will be demonstrated in two areas, namely, distributed coverage hole identification and distributed object recognition.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018
2013 conference paper
Continuous shape estimation of continuum robots using X-ray images
2013 IEEE International Conference on Robotics and Automation, 725–732.
TL;DR:
A new method for continuously and accurately estimating the shape of a continuum robot during a medical procedure using a small number of X-ray projection images that takes advantage of probabilistic priors and numeric optimization to select optimal camera configurations, thus minimizing the expected shape estimation error.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2013 conference paper
Topological mapping of unknown environments using an unlocalized robotic swarm
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 5545–5551.
TL;DR:
This paper explores how stochastic motion models and weak encounter information can be exploited to learn topological information about an unknown environment and proposes a switching control mechanism for the motion models to extract features of complex environments in an effective way.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID, NC State University Libraries
Added: August 6, 2018
2011 journal article
High-Quality Visualization for Geographically Distributed 3-D Teleimmersive Applications
IEEE Transactions on Multimedia, 13(3), 573–584.
author keywords: Human-computer interaction; real-time; stereo reconstruction; virtual reality; visualization; 3-D teleimmersion; 3-D video
TL;DR:
This paper presents a multi-camera system that creates a highly accurate, 3-D reconstruction of an environment in real-time (under 30 ms) that allows for remote interaction between users and describes algorithms to calibrate, reconstruct, and render objects in the system.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2011 conference paper
Planning curvature-constrained paths to multiple goals using circle sampling
2011 IEEE International Conference on Robotics and Automation.
TL;DR:
This work presents a new sampling-based method for planning optimal, collision-free, curvature-constrained paths for nonholonomic robots to visit multiple goals in any order, and proposes greedy heuristics to efficiently compute a path that visits multiple goals.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(OpenAlex)
Source: ORCID
Added: February 10, 2023
2011 conference paper
Robust topological features for deformation invariant image matching
2011 International Conference on Computer Vision.
TL;DR:
The Topological-Attributed Relational Graph (T-ARG), a new local photometric descriptor constructed from homology that is provably invariant to locally bounded deformation, is introduced.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2010 journal article
A Distributed Topological Camera Network Representation for Tracking Applications
IEEE Transactions on Image Processing, 19(10), 2516–2529.
author keywords: Multitarget tracking; network coverage; sensor networks; simplicial homology; smart camera networks
MeSH headings : Algorithms; Automation; Humans; Movement; Pattern Recognition, Automated / methods; Population Surveillance / methods; Video Recording / instrumentation; Video Recording / methods
TL;DR:
This article presents a simplicial representation of a camera network called the camera network complex (CN-complex), that accurately captures topological information about the visual coverage of the network and provides a coordinate-free calibration of the sensor network and demands no localization of the cameras or objects in the environment.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2010 conference paper
A methodology for remote virtual interaction in teleimmersive environments
Proceedings of the first annual ACM SIGMM conference on Multimedia systems.
TL;DR:
A multi-camera system that creates a highly accurate, 3D reconstruction of an environment in real time (under 30 ms) that allows for remote interaction between users and demonstrates the accuracy and speed of the results on a variety of benchmarks and data collected from the system.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2010 chapter
Local Occlusion Detection under Deformations Using Topological Invariants
In Computer Vision – ECCV 2010 (pp. 101–114).
TL;DR:
The novelty and strength of this methodology is that it does not rely on spatio-temporal derivatives or matching, but is instead based on a mathematical representation of the underlying cause of occlusions in a deforming 3D scene.
(via Semantic Scholar)
Sources: Crossref, ORCID, NC State University Libraries
Added: August 28, 2020
2010 conference paper
Real-time stereo-vision system for 3D teleimmersive collaboration
2010 IEEE International Conference on Multimedia and Expo.
author keywords: 3D video; compression; real time; teleimmersion
TL;DR:
This paper describes a system that creates an accurate (on the order of a centimeter), 3D reconstruction of an environment in real time (under 30 ms) that also allows for remote interaction between users.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2009 conference paper
Algebraic approach to recovering topological information in distributed camera networks
2009 International Conference on Information Processing in Sensor Networks. https://ieeexplore.ieee.org/document/5211929
Source: ORCID
Added: February 10, 2023
2009 journal article
Modeling and Optimization Analysis of a Single-Flagellum Micro-Structure Through the Method of Regularized Stokeslets
IEEE Transactions on Control Systems Technology, 17(4), 907–916.
author keywords: Adjoint optimization; animation and simulation; biologically-inspired robots; microrobotics
TL;DR:
An elastic model for a single-flagellum micro-structure is presented and followed by an analysis of the system based on optimization which leads to the design of an optimal elasticity distribution that maximizes the mean forward speed of the structure.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water
(OpenAlex)
Source: ORCID
Added: February 10, 2023
2009 conference paper
Robust construction of the Camera Network Complex for topology recovery
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC).
TL;DR:
An algorithm for performing both the decomposition of the camera coverage through the detection of occlusion events and the discovery of overlapping areas between the multiple decomposed regions in the presence of multiple targets and noisy observations is presented.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2008 conference paper
A Framework for Collaborative Real-Time 3D Teleimmersion in a Geographically Distributed Environment
2008 Tenth IEEE International Symposium on Multimedia.
TL;DR:
This paper presents a framework for immersive 3D video conferencing and geographically distributed collaboration that performs a full-body 3D reconstruction of users in real time and renders their image in a virtual space allowing remote interaction between users and the virtual environment.
(via Semantic Scholar)
Source: ORCID
Added: February 10, 2023
2008 conference paper
CITRIC: A low-bandwidth wireless camera network platform
2008 Second ACM/IEEE International Conference on Distributed Smart Cameras.
TL;DR:
This paper proposes and demonstrates a novel wireless camera network system, called CITRIC, that integrates a camera, a frequency-scalable CPU, 16MB FLASH, and 64MB RAM onto a single device, and connects with a standard sensor network mote to form a camera mote.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Source: ORCID
Added: February 10, 2023
2008 journal article
Nanonails: A Simple Geometrical Approach to Electrically Tunable Superlyophobic Surfaces
Langmuir, 24(1), 9–14.
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation
(OpenAlex)
Sources: Crossref, ORCID, NC State University Libraries
Added: August 28, 2020
2007 journal article
Computation of constant mean curvature surfaces: Application to the gas–liquid interface of a pressurized fluid on a superhydrophobic surface
Journal of Colloid and Interface Science, 314(1), 184–198.
author keywords: superhydrophobic surface; pressure stability; interfacial shape; constant mean curvature surface; Lagrangian evolution equation; static contact line; overall force balance
TL;DR:
The interface shape separating a gas layer within a superhydrophobic surface consisting of a square lattice of posts from a pressurized liquid above the surface is computed numerically and predicts the existence of constant mean curvature solutions from the planar, zero curvature solution up to a maximum curvature that is dependent on the post shape, size and pitch.
(via Semantic Scholar)
Sources: Crossref, ORCID, NC State University Libraries
Added: August 28, 2020
2007 conference paper
Modeling and Optimization Analysis of Single Flagellum Bacterial Motion
2007 American Control Conference.
TL;DR:
An elastic model for a single flagellum bacterium is presented and followed by an analysis of the system based on optimization which results in an optimal elasticity distribution that maximizes the mean forward speed.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water
(OpenAlex)
Source: ORCID
Added: February 10, 2023
2005 journal article
A study of bacterial flagellar bundling
Bulletin of Mathematical Biology, 67(1), 137–168.
MeSH headings : Algorithms; Bacterial Physiological Phenomena; Computer Simulation; Flagella / physiology; Flagellin / metabolism; Models, Biological; Molecular Motor Proteins / physiology
TL;DR:
An analysis of the flow surrounding the flagella provides some intuition for these processes and proposes a computational model based on the equations of Stokes flow to describe the fluid motion.
(via Semantic Scholar)
Sources: Crossref, ORCID, NC State University Libraries
Added: August 28, 2020
Employment
Updated: November 19th, 2017 20:38
2011 - present
North Carolina State University Raleigh, North Carolina, US
Associate Professor
Electrical and Computer Engineering
Education
Updated: November 19th, 2017 20:36
2004 - 2009
UC Berkeley Berkeley, California, US
PhD
Electrical Engineering and Computer Science (EECS)
2000 - 2004
Seattle University Seattle, Washington, US
Bachelor of Science
Mathematics
2000 - 2004
Seattle University Seattle, Washington, US
Bachelor of Science
Electrical Engineering
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