EarDA: Towards Accurate and Data-Efficient Earable Activity Sensing

Fuente: arXiv

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Bibliographic Details
Main Authors:	Lyu, Shengzhe, Chen, Yongliang, Duan, Di, Jia, Renqi, Xu, Weitao
Format:	Preprint
Published:	2024
Subjects:	Signal Processing Artificial Intelligence Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2406.16943