Article

Cross-Domain Complementary Dual-Stream Deep Self-Supervised Learning Framework for Human Activity Recognition on Wearable Devices

2025-08-25

Abstract excerpt

<title>Abstract</title> <p>To reduce the reliance on large-scale annotated data in Human Activity Recognition, this paper proposes a deep self-supervised learning framework that integrates temporal and wavelet-coefficient information. The framework employs Discrete Wavelet Transform to decompose raw signals collected from wearable sensors into multi-scale time–frequency subbands. Deep features are extracted only...

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Literature Corpus work: 8c1c196a-2f25-50a8-9ffa-a0ff1417d102
DOI: 10.21203/rs.3.rs-7342436/v1

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