Title :
Location and activity tracking with the cloud
Author :
Morton, T. ; Weeks, Arthur ; House, S. ; Chiang, Patrick ; Scaffidi, Christopher
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
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.
Keywords :
cloud computing; geriatrics; health care; medical administrative data processing; medical computing; patient monitoring; sensors; activity monitoring; activity tracking; back end cloud based data processing; continuous condition monitoring; elderly people; gait velocity monitoring; location monitoring; movement monitoring; real time tracking; wearable location tracking sensor; Browsers; Current measurement; Handheld computers; Loss measurement; Servers; Velocity measurement; Activities of Daily Living; Aged; Freedom; Humans; Internet;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6347323