Conference
A Multi-source Unsupervised Domain Adaptation Method for Wearable Sensor based Human Activity Recognition
Abstract
Human Activity Recognition (HAR) refers to recognizing a human's ongoing actions through sensor data. At present, one of the main problems faced by Human Activity Recognition is that different subjects, devices and wearing positions can cause inconsistent sensor data distribution. When a classification model trained using some labeled dataset is used to classify a new unlabeled data with different distributions, there will be a significant …
Authors
Zhang B; Zheng R; Liu J
Pagination
pp. 410-411
Publisher
Association for Computing Machinery (ACM)
Publication Date
May 18, 2021
DOI
10.1145/3412382.3458788
Name of conference
Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021)