Unobtrusive assessment of walking speed in the home using inexpensive PIR sensors

Walking speed and activity are important measures of functional ability in the elderly. Our earlier studies have suggested that continuous monitoring may allow us to detect changes in walking speed that are also predictive of cognitive changes. We evaluated the use of passive infrared (PIR) sensors for measuring walking speed in the home on an ongoing basis. In comparisons with gait mat estimates (ground truth) and the results of a timed walk test (the clinical gold standard) in 18 subjects, we found that the clinical measure overestimated typical walking speed, and the PIR sensor estimations of walking speed were highly correlated to actual gait speed. Examination of in-home walking patterns from more than 100,000 walking speed samples for these subjects suggested that we can accurately assess walking speed in the home. We discuss the potential of this approach for continuous assessment.

[1]  J. VanSwearingen,et al.  Physical impairment and disability: relationship to performance of activities of daily living in community-dwelling older men. , 2002, Physical therapy.

[2]  Herman Buschke,et al.  Abnormality of gait as a predictor of non-Alzheimer's dementia. , 2002, The New England journal of medicine.

[3]  Richard Camicioli,et al.  Independent predictors of cognitive decline in healthy elderly persons. , 2002, Archives of neurology.

[4]  Andre Gustavo Adami,et al.  Unobtrusive assessment of activity patterns associated with mild cognitive impairment , 2008, Alzheimer's & Dementia.

[5]  M. Chan,et al.  Assessment of activity of elderly people using a home monitoring system , 2005, International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation.

[6]  Sakuko Otake,et al.  Long-term remote behavioral monitoring of the elderly using sensors installed in domestic houses , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[7]  O. Piguet,et al.  Gait slowing as a predictor of incident dementia: 6-year longitudinal data from the Sydney Older Persons Study , 2005, Journal of the Neurological Sciences.

[8]  Shigeru Ohta,et al.  A Health Monitoring System for Elderly People Living Alone , 2002, Journal of telemedicine and telecare.

[9]  Linda Boise,et al.  Dementia assessment in primary care: results from a study in three managed care systems. , 2004, The journals of gerontology. Series A, Biological sciences and medical sciences.

[10]  Jay Lundell,et al.  Deploying wide-scale in-home assessment technology , 2008 .