Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning. (arXiv:2201.08565v1 [cs.LG])

Web: http://arxiv.org/abs/2201.08565

Human activity recognition has grown in popularity with its increase of
applications within daily lifestyles and medical environments. The goal of
having efficient and reliable human activity recognition brings benefits such
as accessible use and better allocation of resources; especially in the medical
industry. Activity recognition and classification can be obtained using many
sophisticated data recording setups, but there is also a need in observing how
performance varies among models that are strictly limited to using sensor data
from easily …

arxiv consumer human learning machine machine learning models sensors