Tutorial 1: Embedded Technologies for Multimodal Glove Development

Prof. Lei Jing, University of Aizu, Japan

Abstract: Wearable hand motion capture can track and recognize hand posture and movement without the limitation of the application environments, which are opening the doors for diverse applications like rehabilitation, robot control, and virtual reality. The presenter has been working on the finger and hand motion capture with some customized devices like finger rings and hand gloves. In this tutorial, the presenter will introduce the work outcomes and share the experience with the attendees. The tutorial consists of three parts:

Part 1
We are going to introduce our recent work on digital glove development with multimodal sensors.

Part 2
We are going to introduce our recent work on on-chip accelerators for sensor data processing and recognition.

Part 3
Summary of the issues for multimodal sensing and hardware acceleration.

Biography Lei Jing received his Ph.D. degree in Computer Science and Engineering from The University of Aizu Japan in 2008. Now he is the senior associate professor in the Computer Science and Engineering Department of The University of Aizu. His research interests include Wearable Sensing, Motion Capture, and Body Area Networks. He is a member of IEEE, ACM, IEICE, and IPSJ.