Comparative Analysis of Probabilistic Models for Activity Recognition   with an Instrumented Walker
  Rollating walkers are popular mobility aids used by older adults to improve balance control. There is a need to automatically recognize the activities performed by walker users to better understand activity patterns, mobility issues and the context in which falls are more likely to happen. We design and compare several techniques to recognize walker related activities. A comprehensive evaluation with control subjects and walker users from a retirement community is presented. 
Farheen Omar, Mathieu Sinn, Jakub Truszkowski, Pascal Poupart, James   Tung, Allen Caine
cs.AI