Assisted living solutions for the elderly through interactive TV
Multimedia Tools and Applications
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Supporting ageing in place and staying at home, delaying institutionalization, lightening the caregivers' burden, improving the elderly quality of life are as many expectations that TeleHealthCare aims at coming up to. This paper proposes a method for Telemonitoring to detect abnormal changes in behavior which may lead to an early entrance in dependency. This method allows to detect and quantify a possible nycthemeral shift in daily routine. Such a disorder is common with elderly but in severe cases, it may be a marker of pathological behavior. Particularly, in individuals with Alzheimer disease, it appears to be an indicator for more rapid decline. In all the cases, the detection of a disruption in the activity circadian clock needs a follow-up visit. The method introduced is fast and cost-effective in computation. It measures the dissimilarity between sequences of activity using a variant of the Hamming distance traditionally used in information theory. Then results are interpreted according to the circular Gumbel distribution. This method is illustrated through a longitudinal study of the successive locations of an elderly woman within her own flat. In this preliminary work, the records were captured by passive infrared sensors placed in each room allowing only the detection of elementary activities of daily living. The method was tested by varying the timebox width of the study (i. e. the duration of the watched activities) and in a second time by distinguishing the day of the week. In both cases, it provides interesting insights into the behavior and the daily routine of the watched person as well as deviations from this routine. Important deviations will trigger alarms to alert the care providers. Diagnosing early abnormal behaviors is crucial for the person management and treatment effectiveness and consequently his/her maintaining at home.