讲座名称：《用于假肢控制的运动意愿检测》

主讲人：姜贤塔

时间：2019年11月27日，星期三下午13:30开始

地点：软件学院教学楼N310

讲座内容：运动意愿检测是自然假肢控制的核心研究问题。主要研究如何通过检测运动意愿提高假肢控制交互设计，探讨假肢控制交互的前沿问题。

讲座教师：姜贤塔，1998年浙江大学计算机硕士毕业，2015年获浙江大学和加拿大西门菲莎大学联合培养计算机博士学位。曾经在西门菲莎大学、阿尔伯塔大学做过博士后研究工作，现在担任加拿大纪念大学计算机系助理教授职位。研究方向为智能人机交互、生理信号处理和模式识别、眼球跟踪及人因工程。

Title: Detecting Movement Intention for Non-intrusive and Intuitive Artificial Limbs Control

Abstract: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-of-the-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.

BIO: Dr. Xianta Jiang got his MSc in Computer Science from Zhejiang University (Former Hangzhou Univerisity, 1995-1998). He then received Ph.D. from the 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.

Research Interest:

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 mental fatigue with purpose of improving human performance.