This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (2939) Cognitive and Neurorehabilitation (262) Fitness Trackers and Smart Pedometers/Accelerometers (561) mHealth for Rehabilitation (263)

Published on in Vol 19, No 5 (2017): May

Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home Setting

Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home Setting

Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home Setting

Authors of this article:

Megan K O'Brien1, 2 Author Orcid Image ;   Nicholas Shawen1 Author Orcid Image ;   Chaithanya K Mummidisetty1 Author Orcid Image ;   Saninder Kaur1 Author Orcid Image ;   Xiao Bo3 Author Orcid Image ;   Christian Poellabauer3 Author Orcid Image ;   Konrad Kording2 Author Orcid Image ;   Arun Jayaraman1, 2 Author Orcid Image
Article Authors Cited by (50) Tweetations (15) Metrics

Megan K O'Brien   1, 2 * , PhD ;   Nicholas Shawen   1 * , MS ;   Chaithanya K Mummidisetty   1 , MS ;   Saninder Kaur   1 , MD ;   Xiao Bo   3 , MS ;   Christian Poellabauer   3 , PhD ;   Konrad Kording   2 , PhD ;   Arun Jayaraman   1, 2 , PT, PhD

1 Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Rehabilitation Institute of Chicago, Chicago, IL, United States

2 Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, United States

3 Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States

*these authors contributed equally

Corresponding Author:

  • Arun Jayaraman, PT, PhD
  • Max Nader Lab for Rehabilitation Technologies and Outcomes Research
  • Rehabilitation Institute of Chicago
  • 345 E. Superior St.
  • Chicago, IL, 60611
  • United States
  • Phone: 1 312-238-6875
  • Fax: 1 312-238-2081
  • Email: a-jayaraman@northwestern.edu