报告题目：Informationally Structured Space for Computational Systems

Rehabilitation

报 告 人：Naoyuki Kubota (Tokyo Metropolitan University, Japan)

报告时间：6月1日14:30-15:30

报告地点：计算机学院A411会议室

报告摘要：

Recently, the number of patients of brain damage is increasing. The cognitive therapeutic exercise is effective in the rehabilitation after brain damage. In the cognitive rehabilitation, before the actual motions, a patient pays attention to the cognitive cycle of the pre-planning of actual motions and the prediction of sensing in the actual motion in order to recover the cognitive ability from perception to action. It takes much time and load for a therapist to observe and navigate the behaviors of a patient in the rehabilitation program. In the above discussion, the motion measurement, motion analysis, and rehabilitation support are very important and necessary for patients. Of course, it is really ideal that these roles should be done by therapists, but the number of therapists is not enough in the current situation. The introduction of robot partners instead of people is one of possible solutions. Such a robot partner should observe and understand behaviors of both patients and therapists. The emerging synthesis of information technology (IT), network technology (NT), and robot technology (RT) is one of the most promising approaches to realize a safe, secure, and comfortable society for the next generation. Various types of wireless sensor network systems have been developed to monitor human states and behaviors, but we have to deal with huge size of measurement data gathered from different types of sensors simultaneously. Therefore, the environment surrounding people and robots should have a structured platform for gathering, storing, transforming, and providing information. Such an environment is called informationally structured space. We have developed rehabilitation support systems using robot partners and smart devices based on informationally structured space. The synthetic approach for measurement, monitoring, anomaly detection, patient model generation, persona analysis, and rehabilitation support, is called computational systems rehabilitation. This is composed of three main subsystems of sensor network devices, informationally structured space servers, and robot partners. First, we show several rehabilitation support systems using smart devices and sensor network devices for patients of higher brain dysfunction after brain damage. Next, we explain the related research as elderly care and health promotion support system for dementia prevention, and nursing and rehabilitation support systems for developmental disability. Finally, we discuss the effectiveness of the proposed method and future direction of computational systems approach for rehabilitation and care.

报告人简介：

   Naoyuki Kubota graduated from Osaka Kyoiku University in 1992, received the M.E. degree from Hokkaido University in 1994, and received the D.E. from Nagoya University, Japan, in 1997. He was an Assistant Professor and Lecturer at the Department of Mechanical Engineering, Osaka Institute of Technology, Japan, from 1997 to 2000. He joined the Department of Human and Artificial Intelligence Systems, the School of Engineering, Fukui University, as an Associate Professor in 2000. He joined the Department of Mechanical Engineering, the Graduate School of Engineering, Tokyo Metropolitan University, Japan, as an Associate Professor in 2004. He was an Associate Professor from 2005 to 2012, and a Professor from 2012 to 2017 at the Department of System Design, the Graduate School of System Design, Tokyo Metropolitan University, Japan. He is currently a Professor at the Department of Mechanical Systems Engineering, the Graduate School of Systems Design, Tokyo Metropolitan University, Japan. His current interests are in the fields of cognitive robotics, robot partners, coevolutionary computation, fuzzy control, spiking neural networks, and informationally structured space.