This area focuses on developing energy-efficient sensor networks, creating precise indoor positioning systems, and leveraging machine learning to recognize and classify human activities.

Members

Kaishun WU

Professor

Xudong WANG

Professor

Liuqing YANG

Chair Professor

Ying CUI

Associate Professor

Tengfei CHANG

Assistant Professor

Huangxun CHEN

Assistant Professor

Shijian GAO

Assistant Professor

Zijun GONG

Assistant Professor

Guobiao HU

Assistant Professor

Xinhu ZHENG

Assistant Professor

Yan LONG

Assistant Professor

Projects

2023

广东省通感算交叉融合泛在物联网创新团队

Firm: 广东省科技厅

Time: 2023 -

Publications

Vision Transformers for Human Activity Recognition using WiFi Channel State Information

IEEE Internet of Things Journal, March 2024, article number 10477406, p. 1-1

Luo, Fei; Khan, Salabat; Jiang, Bin; Wu, Kaishun

Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function

Complex and Intelligent Systems, v. 10, April 2024, p. 5883-5915

Heyat, Md Belal Bin; Akhtar, Faijan; Munir, Farwa; Sultana, Arshiya; Muaad, Abdullah Y.; Gul, Ijaz; Sawan, Mohamad; Asghar, Waseem; Iqbal, Sheikh Muhammad Asher; Baig, Atif Amin; de la Torre Díez, Isabel; Wu, Kaishun

Multi-source domain generalization for ECG-based cognitive load estimation: A Plug-In Method and Benchmark

2024-03, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024-04-14 ~ 2024-04-19, Seoul, Korea, Republic of, 10.1109/ICASSP48485.2024.10447676

Wang, Jiyao; Wang, Ange; Hu, Haolong; WU, Kaishun; HE, Dengbo

EchoGest: A Highly Scalable Unseen Gesture Recognition System Based On Feature-Wise Transformation

IEEE Internet of Things Journal, May 2024, article number 10538001, p. 1-1

Wang, Yunshu; Chen, Weiyu; Lu, Weiwei; He, Yanbo; Zou, Yongpan; Wu, Kaishun; Leung, Victor C. M.