2016 article

Auto-adjusting mandibular repositioning device for in-home use

Brugarolas, R., Valero-Sarmiento, J. M., Bozkurt, A., & Essick, G. K. (2016, August 1). 2016 38th Annual International Conference of the Ieee Engineering in Medicine and Biology Society (Embc), pp. 4296–4299.

By: R. Brugarolas n, J. Valero-Sarmiento n, A. Bozkurt n & G. Essick*

MeSH headings : Accelerometry; Continuous Positive Airway Pressure / instrumentation; Continuous Positive Airway Pressure / methods; Humans; Mandible / physiology; Monitoring, Physiologic / instrumentation; Monitoring, Physiologic / methods; Oximetry; Sleep Apnea, Obstructive / physiopathology; Sleep Apnea, Obstructive / therapy; User-Computer Interface
topics (OpenAlex): Obstructive Sleep Apnea Research; Neuroscience of respiration and sleep; Cardiovascular and Diving-Related Complications
TL;DR: The Auto-Positioner is presented, a novel add-on for MRDs that adjusts the extent to which the mandible is advanced in response to respiratory signals indicating labored breathing during sleep, and to changes in sleeping position known to affect individual patient's airway patency. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2016 article

Balancing noise sensitivity, response latency, and posture accuracy for a computer-assisted canine posture training system

Majikes, J., Brugarolas, R., Winters, M., Yuschak, S., Mealin, S., Walker, K., … Roberts, D. L. (2016, April 30). International Journal of Human-Computer Studies, Vol. 98, pp. 179–195.

By: J. Majikes n, R. Brugarolas n, M. Winters n, S. Yuschak n, S. Mealin n, K. Walker n, P. Yang n, B. Sherman n, A. Bozkurt n, D. Roberts n

author keywords: Animal-computer interaction; Classification algorithm; Machine learning; Random Forest; Wearable technology
topics (OpenAlex): Human-Animal Interaction Studies; Animal Behavior and Welfare Studies; Hand Gesture Recognition Systems
TL;DR: Results indicate that with proper parameter tuning, the system can successfully capture and reinforce postures to provide computer-assisted training of dogs and to provide a model for future ACI technologies. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
1. No Poverty (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2016 article

Smart connected canines: IoT design considerations for the lab, home, and mission-critical environments

Majikes, J. J., Mealin, S., Rita, N., Brugarolas, N., Walker, K., Yuschak, S., … Roberts, D. L. (2016, September 1). 2016 Ieee 37th Sarnoff Symposium, pp. 118–123.

By: J. Majikes n, S. Mealin n, N. Rita n, N. Brugarolas n, K. Walker n, S. Yuschak n, B. Sherman n, A. Bozkurt n, D. Roberts n

topics (OpenAlex): Human-Animal Interaction Studies; Social Robot Interaction and HRI; Innovative Human-Technology Interaction
TL;DR: This paper summarizes three example canine-human systems presented earlier along with their Ion data characteristics and design criteria in order to explore how smart connected canines can improve the authors' lives, the future of smartconnected canines, and the requirements on IoT technologies to facilitate this future. (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, NC State University Libraries
Added: August 6, 2018

2016 article

Towards a wearable system for continuous monitoring of sniffing and panting in dogs

Brugarolas, R., Agcayazi, T., Yuschak, S., Roberts, D. L., Sherman, B. L., & Bozkurt, A. (2016, June 1). International Conference on Wearable and Implantable Body Sensor, pp. 292–295.

By: R. Brugarolas n, T. Agcayazi n, S. Yuschak n, D. Roberts n, B. Sherman n & A. Bozkurt n

topics (OpenAlex): Olfactory and Sensory Function Studies; Advanced Chemical Sensor Technologies; Human-Animal Interaction Studies
TL;DR: This work has identified discrete features of sniffing and panting in the time domain and utilize event duration, event rate, event mean energy, and the number of consecutive events in a row to build a decision tree classifier. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2015 article

Knowledge engineering for unsupervised canine posture detection from IMU data

Winters, M., Brugarolas, R., Majikes, J., Mealin, S., Yuschak, S., Sherman, B. L., … Roberts, D. (2015, November 16). 12TH ADVANCES IN COMPUTER ENTERTAINMENT TECHNOLOGY CONFERENCE (ACE15).

By: M. Winters n, R. Brugarolas n, J. Majikes n, S. Mealin n, S. Yuschak n, B. Sherman n, A. Bozkurt n, D. Roberts n

author keywords: Animal-computer interaction; Classification algorithms; canine training; accelerometers; animal-machine interfaces
topics (OpenAlex): Human-Animal Interaction Studies; Social Robot Interaction and HRI
TL;DR: Several algorithms for recognizing canine postures are demonstrated, as well as a system for building a computational model of a canine's potential postures, based solely on skeletal measurements, because existing techniques use labeled data, which can be difficult to acquire. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 article

Wearable Heart Rate Sensor Systems for Wireless Canine Health Monitoring

Brugarolas, R., Latif, T., Dieffenderfer, J., Walker, K., Yuschak, S., Sherman, B. L., … Bozkurt, A. (2015, October 1). IEEE Sensors Journal, Vol. 16, pp. 3454–3464.

By: R. Brugarolas n, T. Latif n, J. Dieffenderfer n, K. Walker n, S. Yuschak n, B. Sherman n, D. Roberts n, A. Bozkurt n

author keywords: Computer applications; inertial measurement unit; animal machine interface; physiology
topics (OpenAlex): Non-Invasive Vital Sign Monitoring; Human-Animal Interaction Studies; Cardiovascular Conditions and Treatments
TL;DR: A non-invasive wearable sensor system combining electrocardiogram (ECG), photoplethysmogram (PPG), and inertial measurement units (IMU) to remotely and continuously monitor the vital signs of dogs is presented. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2015 conference paper

Wearable SpO(2) and sleep posture monitoring system for obstructive sleep apnea patients

2015 Virtual Conference on Application of Commercial Sensors.

By: R. Brugarolas, J. Valero-Sarmiento & A. Brna

Source: NC State University Libraries
Added: August 6, 2018

2014 article

Toward Cyber-Enhanced Working Dogs for Search and Rescue

Bozkurt, A., Roberts, D. L., Sherman, B. L., Brugarolas, R., Mealin, S., Majikes, J., … Loftin, R. (2014, October 1). IEEE Intelligent Systems, Vol. 29, pp. 32–39.

By: A. Bozkurt n, D. Roberts n, B. Sherman n, R. Brugarolas n, S. Mealin n, J. Majikes n, P. Yang n, R. Loftin n

topics (OpenAlex): Robotics and Automated Systems; Context-Aware Activity Recognition Systems; IoT-based Smart Home Systems
TL;DR: The authors introduce the fundamental building blocks for a cyber-enabled, computer-mediated communication platform to connect human and canine intelligence to achieve a new generation of Cyber-Enhanced Working Dog (CEWD). (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 article

Behavior recognition based on machine learning algorithms for a wireless canine machine interface

Brugarolas, R., Loftin, R. T., Yang, P., Roberts, D. L., Sherman, B., & Bozkurt, A. (2013, May 1). 2013 IEEE International Conference on Body Sensor Networks (BSN).

topics (OpenAlex): Human-Animal Interaction Studies; Context-Aware Activity Recognition Systems; Cardiovascular Conditions and Treatments
TL;DR: A canine body-area-network (cBAN) is developing to combine sensing technologies and computational modeling to provide handlers with a more accurate interpretation for dog training to facilitate less subjective and lower-cost training techniques. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2013 article

Machine learning based posture estimation for a wireless canine machine interface

Brugarolas, R., Roberts, D., Sherman, B., & Bozkurt, A. (2013, January 1). Ieee Topical Conference on Biomedical Wireless Technologies Networks And, pp. 10–12.

By: R. Brugarolas n, D. Roberts n, B. Sherman n & A. Bozkurt n

topics (OpenAlex): Human-Animal Interaction Studies; Animal Behavior and Welfare Studies; Context-Aware Activity Recognition Systems
TL;DR: The accuracy of machine learning algorithms in identifying canine posture through wireless inertial sensing with 3-axis accelerometers and3-axis gyroscopes is investigated, demonstrating potential to enable a real time canine computer interface. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2012 article

Posture estimation for a canine machine interface based training system

Brugarolas, R., Roberts, D., Sherman, B., & Bozkurt, A. (2012, August 1). 2012 Annual International Conference of the Ieee Engineering in Medicine and Biology Society (Embc), pp. 4489–4492.

By: R. Brugarolas n, D. Roberts n, B. Sherman n & A. Bozkurt n

MeSH headings : Acceleration; Actigraphy / instrumentation; Animals; Dogs / physiology; Equipment Design; Equipment Failure Analysis; Monitoring, Ambulatory / instrumentation; Physical Conditioning, Animal / instrumentation; Physical Conditioning, Animal / methods; Posture / physiology; User-Computer Interface
topics (OpenAlex): Human-Animal Interaction Studies; Gaze Tracking and Assistive Technology; Social Robot Interaction and HRI
TL;DR: A canine body-area-network (cBAN) is proposed to incorporate context-aware sensing with objective detection algorithms to augment the sensitivity and specificity of human trainer's awareness of the dogs they are training. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

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