An advanced Nursing homes activity tracking for Elderly Care support
DOI:
https://doi.org/10.48047/Keywords:
CNN, Elderly Care, Incontinence, Machine Learning, Nursing homesAbstract
A lot of nursing home residents suffer health issues such as pressure ulcers, night walking and incontinence.
Previous research shows that these issues have a clear link with motion patterns of patients during bedtime. This
paper examines if unobtrusive activity tracking can be done in the bed via accelerometers on the mattress. We show
that, with enough training on accelerometer data from variable conditions, a high accuracy can be achieved.
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Published
2021-03-13
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