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Using Entropy Measures for Monitoring the Evolution of Activity Patterns. (arXiv:2210.01736v2 [cs.LG] UPDATED)
Oct. 6, 2022, 1:13 a.m. | Yushan Huang, Yuchen Zhao, Hamed Haddadi, Payam Barnaghi
cs.LG updates on arXiv.org arxiv.org
In this work, we apply information theory inspired methods to quantify
changes in daily activity patterns. We use in-home movement monitoring data and
show how they can help indicate the occurrence of healthcare-related events.
Three different types of entropy measures namely Shannon's entropy, entropy
rates for Markov chains, and entropy production rate have been utilised. The
measures are evaluated on a large-scale in-home monitoring dataset that has
been collected within our dementia care clinical study. The study uses Internet
of …
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