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发布时间:2019-11-21  点击:[]

讲座题目:Detecting Movement Intention for Non-intrusive and Intuitive Artificial Limbs Control

报  告 人:Xianta Jiang 博士



摘       要:

      Prosthetic arms have the potential to improve the lives of individuals who have lost arms. Yet their functioning is limited as they are not connected to the human neural system. My research program is to design and improve the interface between a prosthetic arm and the user by detecting human movement intention. In this talk, I will firstly summarize the current state-ofthe-art the prostheses on the market and the problems. Then I will propose our solution towards achieving non-intrusive and intuitive artificial limbs control using wearable and eye-tracking technologies. Lastly, I will present some of my past related work.



          Dr. Xianta Jiang finished his undergraduate study in Wenzhou University (Former Wenzhou Normal College, 1990-1992). He then got his MSc in Computer Science from Zhejiang University (Former Hangzhou Univerisity, 1995-1998). Dr. Jiang received Ph.D. fromthe Computer Science of the Simon Fraser University (2015) and Zhejiang University (Dual degree), where his thesis research focused on mental workload assessment using eye-tracking technology. He then completed a post-doc fellowship at the MENVA research group, Engineering Science, Simon Fraser University, working on the area of detecting human activity by processing muscle activities data with machine learning algorithm. He latterly worked as a senior research associate in the Surgical Simulation Research Lab (SSRL) in the Department of Surgery at University of Alberta, studying team cognition using Augmented Reality (AR) and eye-tracking technologies. Dr. Jiang is an assistant professor in the Department of Computer Science of Memorial University of Newfoundland, Canada.


      Dr. Jiang has a lifelong research interest in understanding human behaviors for improving interface design. His current research explores the ways of detecting human movement intention through monitoring muscular activities and eye movements. Potential applications include of designing smart prostheses for disable people, surgical tools for teleoperation. He is also interested in developing technologies to evaluate mental workloads and the detection of mentalfatigue with purpose of improving human performance.


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