A Simple and Fast Human Activity Recognition System Using Radio Frequency Energy Harvesting

Author:

Ni Tao1,Chen Yongliang1,Song Keqi1,Xu Weitao1

Affiliation:

1. City University of Hong Kong, China

Funder

ARG grant

ECS grant from Hong Kong RGC

APRC grant

Start-up grant from City University of Hong Kong

Chow Sang Sang Group Research Fund

Publisher

ACM

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. EarDA: Towards Accurate and Data-Efficient Earable Activity Sensing;2024 IEEE Coupling of Sensing & Computing in AIoT Systems (CSCAIoT);2024-05-13

2. XPorter: A Study of the Multi-Port Charger Security on Privacy Leakage and Voice Injection;Proceedings of the 29th Annual International Conference on Mobile Computing and Networking;2023-10-02

3. Exploiting Contactless Side Channels in Wireless Charging Power Banks for User Privacy Inference via Few-shot Learning;Proceedings of the 29th Annual International Conference on Mobile Computing and Networking;2023-10-02

4. A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects;Multimedia Tools and Applications;2023-05-11

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