Analyzing Wearables Dataset to Predict ADLs and Falls: A Pilot Study. (arXiv:2209.04785v1 [cs.LG])

Healthcare is an important aspect of human life. Use of technologies in
healthcare has increased manifolds after the pandemic. Internet of Things based
systems and devices proposed in literature can help elders, children and adults
facing/experiencing health problems. This paper exhaustively reviews
thirty-nine wearable based datasets which can be used for evaluating the system
to recognize Activities of Daily Living and Falls. A comparative analysis on
the SisFall dataset using five machine learning methods i.e., Logistic
Regression, Linear Discriminant Analysis, …

arxiv dataset pilot study wearables