Theme: Application of gait analysis in biomedical engineering

Host：Dr. Yao Gu

Time：21st May, 2021, 16:00-17:40

Location: Room 202, Med-X Research Institute, Xuhui Campus, SJTU

Abstract: 

Gait analysis is a significant tool that provides quantitative analysis of kinematics and dynamics of human walking patterns, which can help to reveal the underlying factors and associated disease of those exhibiting abnormal gait
patterns. The detection and evaluation of abnormal and pathological gait can provide meaningful clues in terms of disease diagnosis, therapy, and rehabilitation. Hence, it is of great paramount to perform gait analysis for those patients suffering from musculoskeletal and neurological systems related disease, enabling the quantitative assessment and evaluation of their motor functions. Due to the high cost and tedious setup of wearable sensors/markers, the common-used commercial gait analysis systems are usually limited in lab environment. To facilitate gait analysis in a pervasive manner, vision-based markerless gait analysis has attracted increasing attention in recent years. To address the inherent challenges of vision-based markerless gait analysis and the demand in long-term monitoring, this talk will first introduce a new framework to achieve mobile gait analysis with a single RGB-D camera. This framework incorporates the precise estimation of both 3D lower limb skeleton and 6D camera pose, thus offering the gait analysis in a canonical coordinate system. In addition, this talk also addresses the challenges in recognizing abnormal gait
patterns entangled with subject-specific differences. Through the use of transfer learning, the generalization capability of the classification model can be enhanced.

Biography: 

Dr. Yao Guo received his B.S. degree in automation and M.S. degree in communication and information system from Sun Yat-sen University, Guangzhou, China in 2011 and 2014, respectively. He earned his Ph.D. degree in robotic vision from the City University of Hong Kong, Hong Kong in 2018. His postdoctoral training was at the Hamlyn Centre for Robotic Surgery, Imperial College London, London, UK from 2018 to 2020. Since October 2020, he has been the tenure-track Assistant Professor with the Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China. His main research interests include robotic vision, gait analysis, rehabilitation and assistive robotics, human-machine interaction, and machine learning algorithms in healthcare applications. He has published over 30 papers in peer-reviewed journals and international conferences, and he received the Best Conference Paper Award at the IEEE International Conference on Mechatronics and Automation (ICMA) 2016.