Invited Speaker 1: Professor Yuanqing Li
Title: Multimodal BCIs and Their Clinical Applications
Abstract: Despite rapid advances in the study of brain-computer interfaces (BCIs) in recent decades, two fundamental challenges, namely, improvement of target detection performance and multi-dimensional control, continue to be major barriers for further development and applications. In this paper, we review the recent progress in multimodal BCIs (also called hybrid BCIs), which may provide potential solutions for addressing these challenges. In particular, improved target detection can be achieved by developing multimodal BCIs that utilize multiple brain patterns, multimodal signals or multisensory stimuli. Furthermore, multi-dimensional object control can be accomplished by generating multiple control signals from different brain patterns or signal modalities. Here, we highlight several representative multimodal BCI systems by analyzing their paradigm designs, detection/control methods, and experimental results. Furthermore, we report several initial clinical applications of these multimodal BCI systems including awareness evaluation/detection, assisting diagnosis in patients with disorder of consciousness (DOC). As an evolving research area, the study of multimodal BCIs is increasingly requiring more synergetic efforts from multiple disciplines for the exploration of the underlying brain mechanisms, the design of new effective paradigms and means of neurofeedback, and the expansion of the clinical applications of these systems.
Biography: Yuanqing Li received the B.S. degree in applied mathematics from Wuhan University, Wuhan, China, in 1988, the M.S. degree in applied mathematics from South China Normal University, Guangzhou, China, in 1994, and the Ph.D. degree in control theory and applications from the South China University of Technology, Guangzhou, in 1997. Since 1997, he has been with the South China University of Technology, where he became a Full Professor in 2004. From 2002 to 2004, he was with the Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Japan, as a Researcher. From 2004 to 2008, he was with the Laboratory for Neural Signal Processing, Institute for Infocomm Research, Singapore, as a Research Scientist. He was elevated to IEEE Fellow for his contributions to brain signal analysis and BCIs in 2016. He won the State Natural Science Awards (second prize), China, 2009, Changjiang Professorship, Ministry of Education, China, 2012, Distinguished Young Scholar Award, National Natural Science Foundation of China (NSFC), 2008, and many more. His research interests include blind signal processing, sparse representation, machine learning, brain–computer interface, EEG, and fMRI data analysis. He has published more than 100 journal papers and 2 edited books since 1994, of which 80 were published in high level journals including Brain, Cerebral Cortex, NeuroImage, Human Brain Mapping, Journal of Neural Engineering, Neural Computation, Proceedings of the IEEE, IEEE Signal Processing Magazine, and 8 various IEEE transactions, e.g., IEEE Trans. Information Theory and IEEE Trans. PAMI. He also has more than 30 publications in conferences including NIPS and WCCI. He has been serving as AE of several journals such as IEEE Trans. on Fuzzy Systems and IEEE Trans. on Human-Machine Systems.
Invited Speaker 2: Professor Aiguo Song
Title: Force Sensing, Feedback and Control for Teleoperation Robot
Abstract: Teleoperation robot is currently the frontier and hot-point of the robotics research. The telerobot combines the human intelligence with robot viability in unknown environments, so that it is able to perform the complex tasks or pre-unknown tasks in unknown or dangerous environments. Force sensing, feedback and control are core techniques of the teleoperation robot. In this presentation, we review the history of the teleoperation robot, and illustrate the architecture of the teleoperation robot system. Teleoperation robot with force feedback allows humans to perform complex tasks in a remote or inaccessible environment, while providing force feedback to the human operator. The incorporation of real-time force feedback as well as visual information in the teleoperation control loop can lead to significant improvements in task performance, feeling of presence. Then we discuss its three key techniques, that is force sensing, force feedback, and force control strategy under time delay. At last, we briefly introduce the development of teleoperation robot system with force sensing and feedback, and its typical applications at Southeast University during the past decade.
Biography: Aiguo Song is the chief professor of Southeast University, winner of National Outstanding Youth Fund, National Outstanding Scientific and Technological Worker, and winner of China Youth Science and Technology Award. He has been selected into the National “Ten Thousand Talents Plan”. He is the member of the Discipline Evaluation Group of Instrument Science and Technology of Academic Degree Committee of the State Council, chair of Jiangsu Instrumentation Society, chair of IEEE Nanjing Section Robotics and Automation Society Chapter, and IEEE senior member. From June 2004 to December 2019, he was the dean of the School of Instrument Science and Engineering, Southeast University, P. R. China. He is currently the chairman of the College of Electrical, Instrument and Automation Engineering, the executive president of the Institute of Space Science and Technology, Director of Robot Sensor and Control Laboratory, Southeast University. Prof. Song has been engaged in the research of robot sensing and control technology, space robot, nuclear detection robot, power inspection robot and rehabilitation/medical robot since 1993. As the project leader, he has completed more than 50 important projects, including national key R & D projects, National 863 high-tech projects, national 973 projects, key projects of National Natural Science Foundation of China, and Space Exploration Research projects. As the first person, he has won the second prize of National Technology Invention Award, two of the first prize of Technology Invention Award of Ministry of Education, two of the first prize of science and technology progress award of Jiangsu Province, and three gold awards of Geneva International Invention. He has published more than 280 peer reviewed journal papers, and 180+ papers have been indexed by SCIE, and SCI cited time is 2000+. He has gotten more than 80 authorized patents and 5 national technique standards for special robots.