SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition. (arXiv:2108.10213v2 [eess.SP] UPDATED)

Unsupervised user adaptation aligns the feature distributions of the data
from training users and the new user, so a well-trained wearable human activity
recognition (WHAR) model can be well adapted to the new user. With the
development of wearable sensors, multiple wearable sensors based WHAR is
gaining more and more attention. In order to address the challenge that the
transferabilities of different sensors are different, we propose SALIENCE
(unsupervised user adaptation model for multiple wearable sensors based human
activity recognition) …

arxiv human sensors unsupervised wearable wearable sensors