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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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Literature Corpus work
624c7ff1-1255-516d-a9a3-406b179e9c53
DOI
10.21203/rs.3.rs-8622641/v1
Open publication

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Unsupervised Cross-Domain Adaptation for Wearable-based Human Activity RecognitionDOI 10.21203/rs.3.rs-8622641/v1
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