Namita Dilip Lokare

Works (4)

Updated: July 5th, 2023 15:41

2017 article

Energy-efficient activity recognition via multiple time-scale analysis

Lokare, N., Samadi, S., Zhong, B., Gonzalez, L., Mohammadzadeh, F., & Lobaton, E. (2017, November 1). 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1466–1472.

By: N. Lokare n, S. Samadi n, B. Zhong n , L. Gonzalez n, F. Mohammadzadeh n & E. Lobaton n 

topics (OpenAlex): Context-Aware Activity Recognition Systems; Non-Invasive Vital Sign Monitoring; IoT and Edge/Fog Computing
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 Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries, ORCID
Added: August 6, 2018

2017 article

Robust trajectory-based density estimation for geometric structure recovery

Richmond, T., Lokare, N., & Lobaton, E. (2017, August 1). 2017 25th European Signal Processing Conference (EUSIPCO), pp. 1210–1214.

By: T. Richmond n, N. Lokare n & E. Lobaton n 

topics (OpenAlex): Data Management and Algorithms; Topological and Geometric Data Analysis; Data Visualization and Analytics
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 Goals Color Wheel
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

2016 article

Comparing wearable devices with wet and textile electrodes for activity recognition

Lokare, N., Gonzalez, L., & Lobaton, E. (2016, August 1). 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3539–3542.

By: N. Lokare n, L. Gonzalez n & E. Lobaton n 

MeSH headings : Artifacts; Electrocardiography / instrumentation; Electrocardiography / methods; Electrodes; Equipment Design; Humans; Muscle, Skeletal / physiology; Principal Component Analysis; Signal Processing, Computer-Assisted; Textiles
topics (OpenAlex): Muscle activation and electromyography studies; Advanced Sensor and Energy Harvesting Materials; EEG and Brain-Computer Interfaces
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

2015 article

Non-rigid image registration under non-deterministic deformation bounds

Ge, Q., Lokare, N., & Lobaton, E. (2015, January 28). (E. Romero & N. Lepore, Eds.). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, Vol. 9287.

By: Q. Ge n, N. Lokare n & E. Lobaton n 

Ed(s): E. Romero & N. Lepore

author keywords: Non-rigid image registration; Lipschitz deformation; Uncertainty quantification
topics (OpenAlex): Medical Image Segmentation Techniques; Robotics and Sensor-Based Localization; Advanced Image and Video Retrieval Techniques
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 Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

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