Location and activity tracking with the cloud.
Helping elderly people to live independently within their homes for as long as possible, before transitioning to higher levels of care, can significantly reduce healthcare expenditures. However, achieving this vision requires continuous monitoring of the condition of elderly adults within their homes. In particular, activity, gait velocity, movement, and location of elderly adults are critical biomarkers for healthy aging. We present a prototype integrating a wearable location-tracking sensor with back-end cloud-based data processing, thereby enabling real-time tracking and analysis of a large number of people simultaneously. The resulting vertically-integrated prototype provides a basic infrastructure for future work, including new products and services that offer real-time monitoring and early disease diagnosis to help elderly people live independently for as long as possible.
School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97330, USA. mortont@onid.orst.edu
Taj
T
Morton
Alex
A
Weeks
Samuel
S
House
Patrick
P
Chiang
Chris
C
Scaffidi
D000203:Activities of Daily Living; D000368:Aged; D005610:Freedom; D006801:Humans; D020407:Internet