Title :
Unobtrusive Assessment of Mobility
Author :
Pavel, Misha ; Hayes, Tamara L. ; Adami, Andre ; Jimison, Holly ; Kaye, Jeffrey
Author_Institution :
Biomed. Eng. Dept., Oregon Health & Sci. Univ., Portland, OR
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
This paper describes a model-based approach to the unobtrusive monitoring of elders in their home environment to assess their health, daily activities, and cognitive function. We present a semi-Markov model representation with automated learning to characterize individual elder´s mobility in the home environment. The assessed mobility can be used to characterize the elder´s speed of walking and can serve as one of the predictors of future cognitive functionality and the ability of elders to live independently in their home environment
Keywords :
cognition; gait analysis; geriatrics; hidden Markov models; home computing; inference mechanisms; learning (artificial intelligence); medical computing; neurophysiology; patient monitoring; telemedicine; automated learning; cognitive function; daily activities; hidden semiMarkov model representation; home environment; model-based inference; unobtrusive elders mobility monitoring; walking; Acceleration; Accelerometers; Aging; Cities and towns; Costs; Legged locomotion; Medical services; Remote monitoring; Senior citizens; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260301
