Radar walk detection in the apartments of elderly

Seniors want to live more independent lifestyles. This comes with some risks including dwindling health and major injuries due to falling. A factor that has been studied and seen to have a correlation to fall risk is change in gait speed. Our goal is to create a passive system that monitors the gait of elderly so that assessments can be given by caregivers if gait changes do occur. This paper will cover a method of using pulse-Doppler radar to detect when walks occur. In unscripted living environments, we are able to detect valid walks. The system does miss walks during the day, but when walks are detected, they are actually valid walks 91.8% of the time using a large data base of radar signals captured in living environments.

[1]  Marjorie Skubic,et al.  Passive in-home measurement of stride-to-stride gait variability comparing vision and Kinect sensing , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  Marjorie Skubic,et al.  Evaluation of an inexpensive depth camera for in-home gait assessment , 2011, J. Ambient Intell. Smart Environ..

[3]  B. E. Maki,et al.  Gait Changes in Older Adults: Predictors of Falls or Indicators of Fear? , 1997, Journal of the American Geriatrics Society.

[4]  Liang Liu,et al.  Gait characterization via pulse-Doppler radar , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[5]  Shigeo Abe DrEng Pattern Classification , 2001, Springer London.

[6]  R. Guimarães,et al.  Characteristics of the gait in old people who fall. , 1980, International rehabilitation medicine.

[7]  Liang Liu,et al.  Automatic fall detection based on Doppler radar motion signature , 2011, 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.