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eWear Seminar: Wearable Sensors, human behaviors, and statistical learning

November 5, 2019 -
2:00pm to 3:00pm
Spilker Building, Room 232

Speaker: Kyle N. Winfree, PhD, Assistant Professor, Associate Director for Undergraduate Programs and Wearable Informatics Lab & NAU GoBabyGo Program Director, School of Informatics, Computing, and Cyber Systems at Northern Arizona University 

Dr. Winfree’s research focuses on development of the hardware and software systems to enable high quality community based assessments of human gait, physical activity, and behaviors.  He has developed a research track on design and use of wearable devices to improve human health.  This is supported through use of a combination of both the standard, well-tested numerical analysis methods, and novel methods developed within his research lab.  In previous research, he developed taxonomies for classification of such human behaviors as freezing of gait (PD), walking, and eating.  Using these developed taxonomies, his team has developed statistical learning classifiers, largely dependent on appropriate preprocessing of the data, to identify such behaviors from a multitude of different sensor source types.  These statistical classifiers have all been trained using human observation as a gold standard.  While his core interests relate to human health, recently his team has begun to apply many of these methods to non-human mammals such as cattle.  With formal training in Physics, Robotics, Biomechanics and Movement Science, and Nursing, he now teaches in Informatics and Electrical Engineering, and is the Associate Director of Undergraduate Programs in the School of Informatics, Computing, and Cyber Systems at Northern Arizona University.

Event Sponsor: 
Stanford Wearable Electronics Initiative
Contact Email: 
wearable-electronics@stanford.edu
Contact Phone: 
650-721-1874