Neural interface system (NIS) are transformative technologies that establish a direct connection between the nervous system and external devices, enabling applications in assistive technologies, medical rehabilitation, and neuroprosthetics. Neural interface technology mainly focuses on the applications of electroencephalography (EEG), electromyography (EMG), near-infrared (NIR), A-mode ultrasound, etc. These perception devices are capable of capturing human neurophysiological signals and motion information, enabling accurate identification of human intentions and seamless interaction, through the utilization of extensive datasets and advanced machine learning algorithms.
This special session aims to provide a communication platform for neural interface techniques. By addressing the challenges of signal robustness, device biocompatibility, and control accuracy, this session highlights the potential of NIS to revolutionize healthcare, neuroscience, intelligent robots and beyond. We welcome you to discuss the current state of research and application prospects of NIS.
Keywords:: Human-Machine Interaction, Neural Signal Decoding, Feature Extraction, Machine Learning, Adaptive Control
Yixuan Sheng,
Ph.D., Harbin Institute of Technology, Shenzhen, P.R. China, assistant professor, shengyixuan@hit.edu.cn. Her research interests focus on multimodal wearable sensing technology, biosignal processing and neurorehabilitation. She proposed the quantitative evaluation methods for motor function based on muscle synergy and corticomusclar coherence, applied to motor disorders.
Zhiyong Wang
received the Ph.D. degree in Shanghai Jiao Tong University, Shanghai, China, in 2023. He is currently an assistant Professor of Harbin Institute of Technology Shenzhen, Shenzhen, China. Shenzhen "Pengcheng Peacock Program" special position teacher Class C talent. He has been engaged in computer vision, intelligent algorithms and human-computer interaction technology applications. He has published 26 academic papers and 4 authorized invention patents. Participated in 1 national key research and development program, 1 National Natural Science Foundation International cooperation and exchange project, and 1 Shenzhen Science and Technology major project. Chaired special session on international conferences ICIRA 2023, ICIRA 2024 and SMC 2024.
Liping Huang,
MD, Ph.D., The First Medical Center, Chinese PLA General Hospital, Beijing, P.R. China, Chief Physician, ping-online@163.com. Her research interests focus on intelligent rehabilitation, neurological rehabilitation and musculoskeletal rehabilitation. She has published 12 SCI papers, including 9 SCI papers published as the first or corresponding author. She has hosted a National Key Research and Development Project, a Medical Engineering Laboratory of Chinese PLA General Hospital Project and a Capital Health Development Research Project.
Gongzi Zhang,
MD, Ph.D., The First Medical Center, Chinese PLA General Hospital, Beijing, P.R. China. His research interests focus on rehabilitation and surgical robot systems. He has published 9 academic papers, 5 authorized invention patents and 2 software copyrights. He/she has won the First Prize of the Beijing Science and Technology Progress Award (2023) and the First Prize of the Invention and Entrepreneurship Innovation Award of the China Invention Association (2023). He has participated in the compilation of 2 monographs, the writing of 1 international IEEE medical robot module standard (P3177), and the writing of 1 group standard.