Ubiquitous computing, or pervasive computing, is revolutionizing the way we interact with our living environments by embedding computational intelligence into everyday objects and systems. In smart homes, this technology creates interconnected, intelligent ecosystems that enhance comfort, security, and efficiency. Our research in ubiquitous computing focuses on developing and integrating advanced sensor networks, machine learning algorithms, and Internet of Things (IoT) devices to create adaptive, context-aware home environments. These smart systems learn and anticipate user behaviors, automate home settings for personalized experiences, and ensure robust security to safeguard user data and privacy. Additionally, we explore the social and ethical dimensions of smart home technologies, addressing issues like data ownership, user autonomy, and accessibility. By advancing ubiquitous computing in smart homes, we aim to improve the quality of life for all inhabitants, making everyday living more intuitive, responsive, and sustainable.

Members

Yang YANG

Professor

Tengfei CHANG

Assistant Professor

Huangxun CHEN

Assistant Professor

Guobiao HU

Assistant Professor

Jiadong YU

Assistant Professor

Mingming FAN

Assistant Professor

Kaishun WU

Professor

Projects

2024

基于嵌入式GPU的抗量子密码标准方案高效实现

Firm: 之江实验室

Time: 2023 -

2024

基于通感算交叉融合的未来无线感知网络理论与应用研究

Firm: 广州市科技局

Time: 2024 -

2023

广东省通感算交叉融合泛在物联网重点实验室

Firm: 广东省科技厅

Time: 2023 -

Publications

A Wireless Gunshot Recognition System Based on Tri-Axis Accelerometer and Lightweight Deep Learning

2023-10, IEEE Internet of Things Journal , Computer Science Computer Networks and Communications Computer Science Applications Hardware and Architecture Information Systems Signal Processing Decision Sciences Information Systems and Management, Q1, vol.10, issue: 19, 10.1109/JIOT.2023.3273859, 17450 ~ 17464

Designing Upper-Body Gesture Interaction with and for People with Spinal Muscular Atrophy in VR

CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems / edited by Florian Floyd Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas, Max L. Wilson, Phoebe Toups Dugas, Irina Shklovski. New York, NY, USA : Association for Computing Machinery, 2024, p. 1-19, Article number 60

Tian, Jingze; Wang, Yingna; Yu, Keye; Xu, Liyi; Xie, Junan; Li, Franklin Mingzhe; Niu, Yafeng; Fan, Mingming

“It Is Hard to Remove from My Eye”: Design Makeup Residue Visualization System for Chinese Traditional Opera (Xiqu) Performers

CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems / edited by Florian Floyd Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas, Max L. Wilson, Phoebe Toups Dugas, Irina Shklovski. New York, NY, USA : Association for Computing Machinery, 2024, p. 1-16, Article number 989

Xiong, Zeyu; Fu, Shihan; Zhu, Yanying; Zhu, Chenqing; Ma, Xiaojuan; Fan, Mingming

FetchAid: Making Parcel Lockers More Accessible to Blind and Low Vision People With Deep-learning Enhanced Touchscreen Guidance, Error-Recovery Mechanism, and AR-based Search Support

CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems / edited by Florian Floyd Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas, Max L. Wilson, Phoebe Toups Dugas, Irina Shklovski. New York, NY, USA : Association for Computing Machinery, 2024, p. 1-15, Article number 39

Guan, Zhitong; Xiong, Zeyu; Fan, Mingming

To Reach the Unreachable: Exploring the Potential of VR Hand Redirection for Upper Limb Rehabilitation

2024-05, 2024 CHI Conference on Human Factors in Computing Systems (CHI 2024), 2024-05-11 ~ 2024-05-16, 10.1145/3613904.3642912, CHI '24: Proceedings of the CHI Conference on Human

Factors in Computing Systems / edited by Florian Floyd Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas, Max L. Wilson, Phoebe Toups Dugas, Irina Shklovski. New York, NY, USA : Association for Computing Machinery, 2024, p. 1-19, Article number 60

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.