ATFA: Adversarial Time–Frequency Attention network for sensor-based multimodal human activity recognition

Author:

Feng Haotian,Shen Qiang,Song Rui,Shi LidaORCID,Xu HaoORCID

Funder

National Natural Science Foundation of China

Jilin Provincial Scientific and Technological Development Program

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference33 articles.

1. Adversarial multi-view networks for activity recognition;Bai;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies,2020

2. Attention-based deep learning framework for human activity recognition with user adaptation;Buffelli;IEEE Sensors Journal,2020

3. The opportunity challenge: A benchmark database for on-body sensor-based activity recognition;Chavarriaga;Pattern Recognition Letters,2013

4. SALIENCE: An unsupervised user adaptation model for multiple wearable sensors based human activity recognition;Chen;IEEE Transactions on Mobile Computing,2022

5. Deep learning for sensor-based human activity recognition;Chen;ACM Computing Surveys,2020

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