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MD2K Webinar with Stephen Intille: Improving Behavioral Measurements from Mobile Devices

Contact Barbara Kuhn (barbara.kuhn@memphis.edu)

Improving Behavioral Measurements from Mobile Devices

Abstract: Automatic interpretation of sensor data is creating exciting opportunities for “just-in-time” behavioral measurement and intervention. However, to fully develop new context-sensitive or behavior-sensitive technologies requires improved methods for gathering and interpreting temporally-dense behavior, state, and context data. I will discuss some of my research group’s work on automatic recognition of physical activity from passive mobile motion (accelerometer) sensors. That has motivated new work exploring the interruption burden of self-report and microinteraction-based ecological momentary assessment (“micro” EMA, or µEMA) using smartwatches, where self-report questions can be answered with a quick glance and a tap – nearly as quickly as checking the time on a watch.

About the presenter: 
Stephen Intille, Ph.D., is an Associate Professor in the College of Computer and Information Science and Bouvé College of Health Sciences at Northeastern University. His research focuses on the development of novel healthcare technologies that incorporate ideas from ubiquitous computing, user-interface design, pattern recognition, behavioral science, and preventive medicine. Areas of special interest include technologies for measuring and motivating health-related behaviors, technologies that support healthy aging and well-being in the home setting, and mobile technologies that permit longitudinal measurement of health behaviors for research, especially the type, duration, intensity, and location of physical activity.

Dr. Intille received his Ph.D. from MIT in 1999 working on computational vision at the MIT Media Laboratory, an S.M. from MIT in 1994, and a B.S.E. degree in Computer Science and Engineering from the University of Pennsylvania in 1992. He has published research on computational stereo depth recovery, real-time and multi-agent tracking, activity recognition, perceptually-based interactive environments, and technology for healthcare. Dr. Intille has been principal investigator on sensor-enabled health technology grants from the NSF, the NIH, foundations, and industry. After ten years as Technology Director of the House_n Research Consortium at MIT, in 2010 he joined Northeastern University to help establish a new transdisciplinary Ph.D. program in Personal Health Informatics, which he currently directs.

Home page: http://ccs.neu.edu/home/intille

Research group home page: http://mhealthgroup.org

To join the Meeting:

https://bluejeans.com/624447265

To join via phone :

1) Dial:
+1.408.740.7256 (United States)
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+1.408.317.9253 (Alternate number)
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2) Enter Conference ID : 326175923

Copyright © 2017 MD2K. MD2K is supported by the National Institutes of Health Big Data to Knowledge Initiative (Grant #1U54EB020404)

Team: Cornell Tech, GA Tech, Harvard, U. Memphis, Northwestern, Ohio State, Open mHealth, UCLA, UCSD, UCSF, UMass, U. Michigan, Utah, WVU