Article
Unsupervised Cross-Domain Adaptation for Wearable-based Human Activity Recognition
2026-03-12
Abstract excerpt
<title>Abstract</title> <p>Recent advancements in deep learning-based wearable human action recognition(wHAR) have improved the capture and classification of complex motions. Still,adoption remains limited due to the lack of expert annotations and domain discrepancies from user variations. Limited annotations hinder the model’s ability to generalize to out-of-distribution samples. While data augmentation can impr...
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Identifiers and source
- Literature Corpus work
- 624c7ff1-1255-516d-a9a3-406b179e9c53
- DOI
- 10.21203/rs.3.rs-8622641/v1
