Traditionally, in healthcare, records are kept with pencil and paper. Now we have healthcare IT, and with the introduction of wearable technology, we can automatically record health data in clinical settings and at a patient’s home. In sport, wearable devices are removing the need for video analysis and making skill development automated and portable. These advances have also opened up a market of intelligent feedback systems that provide quality insights directly to the user. This presentation focuses on how I advance research in healthcare and athletic performance by designing wearable sensors, features, algorithms, and intelligent feedback systems. The presentation includes summaries of my current and prior research, describing: (1) Enhancing athletic performance with the AI method; (2) Design of SoftWear - soft wearable sensors made from clothing; and (3) Application of wearable technology in healthcare. The presentation will conclude with my long-term research plans for transforming athletic performance optimization with the use of wearable technology and the further applications of this technology outside of athletics.
Amanda Watson is a Ph.D. candidate in the Department of Computer Science at the William & Mary where she researches under Dr. Gang Zhou in the LENS lab. She received her M.S. in Computer Science from the William & Mary and a B.A. in Computer Science and Mathematics from Drury University where she was a 4 year letterman on the varsity volleyball team. Her research interests include Wearable Technology, Smart Health, Sports Science, Sensor Systems, Smart Health, Ubiquitous and Mobile Computing, and Internet of Things.