2017 journal article

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

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 98, 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
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 Goal Categories
1. No Poverty (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2016 conference paper

Auto-adjusting mandibular repositioning device for in-home use

2016 38th annual international conference of the ieee engineering in medicine and biology society (embc), 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
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)
Source: NC State University Libraries
Added: August 6, 2018

2016 conference paper

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

2016 ieee 37th sarnoff symposium, 118–123.

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 Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2016 conference paper

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

International conference on wearable and implantable body sensor, 292–295.

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

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 Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2016 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. (2016, May 15). IEEE SENSORS JOURNAL, Vol. 16, pp. 3454–3464.

author keywords: Computer applications; inertial measurement unit; animal machine interface; physiology
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 Goal Categories
Source: Web Of Science
Added: August 6, 2018

2015 article

Knowledge Engineering for Unsupervised Canine Posture Detection from IMU Data

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
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 Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
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 journal article

Toward Cyber-Enhanced Working Dogs for Search and Rescue

IEEE INTELLIGENT SYSTEMS, 29(6), 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

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 Goal Categories
Source: Web Of Science
Added: August 6, 2018

2013 conference paper

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

2013 IEEE International Conference on Body Sensor Networks (BSN).

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

2013 conference paper

Machine learning based posture estimation for a wireless canine machine interface

Ieee topical conference on biomedical wireless technologies networks and, 10–12.

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

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

2012 conference paper

Posture estimation for a canine machine interface based training system

2012 annual international conference of the ieee engineering in medicine and biology society (embc), 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
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)
Source: NC State University Libraries
Added: August 6, 2018

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