Unobtrusive assessment of mobility

Misha Pavel, Tamara L. Hayes, Andre Adami, Holly Jimison, Jeffrey Kaye

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages6277-6280
Number of pages4
DOIs
StatePublished - 2006
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: Aug 30 2006Sep 3 2006

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
CountryUnited States
CityNew York, NY
Period8/30/069/3/06

Fingerprint

Health
Monitoring

ASJC Scopus subject areas

  • Bioengineering

Cite this

Pavel, M., Hayes, T. L., Adami, A., Jimison, H., & Kaye, J. (2006). Unobtrusive assessment of mobility. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (pp. 6277-6280). [4030360] https://doi.org/10.1109/IEMBS.2006.260301

Unobtrusive assessment of mobility. / Pavel, Misha; Hayes, Tamara L.; Adami, Andre; Jimison, Holly; Kaye, Jeffrey.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 2006. p. 6277-6280 4030360.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pavel, M, Hayes, TL, Adami, A, Jimison, H & Kaye, J 2006, Unobtrusive assessment of mobility. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings., 4030360, pp. 6277-6280, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, United States, 8/30/06. https://doi.org/10.1109/IEMBS.2006.260301
Pavel M, Hayes TL, Adami A, Jimison H, Kaye J. Unobtrusive assessment of mobility. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 2006. p. 6277-6280. 4030360 https://doi.org/10.1109/IEMBS.2006.260301
Pavel, Misha ; Hayes, Tamara L. ; Adami, Andre ; Jimison, Holly ; Kaye, Jeffrey. / Unobtrusive assessment of mobility. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 2006. pp. 6277-6280
@inproceedings{9bff73474cec4c1f88fc6abd8d49d536,
title = "Unobtrusive assessment of mobility",
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.",
author = "Misha Pavel and Hayes, {Tamara L.} and Andre Adami and Holly Jimison and Jeffrey Kaye",
year = "2006",
doi = "10.1109/IEMBS.2006.260301",
language = "English (US)",
isbn = "1424400325",
pages = "6277--6280",
booktitle = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

}

TY - GEN

T1 - Unobtrusive assessment of mobility

AU - Pavel, Misha

AU - Hayes, Tamara L.

AU - Adami, Andre

AU - Jimison, Holly

AU - Kaye, Jeffrey

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33847751639&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33847751639&partnerID=8YFLogxK

U2 - 10.1109/IEMBS.2006.260301

DO - 10.1109/IEMBS.2006.260301

M3 - Conference contribution

C2 - 17947186

AN - SCOPUS:33847751639

SN - 1424400325

SN - 9781424400324

SP - 6277

EP - 6280

BT - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

ER -