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KUKANCHI Robot System for Activation of Mental and Physical Function

用于激活身心功能的 KUKANCHI 机器人系统

基本信息

批准号：
22500177
负责人：
YAMAGUCHI Toru
金额：
$ 2.83万
依托单位：
Tokyo Metropolitan University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2010
资助国家：
日本
起止时间：
2010 至 2012
项目状态：
已结题

项目摘要

This research deals with developing Kukanchi-robot system to realize functional media for activating users’ mind and body. In response to an aging society, intelligent robot is expected to apply for supporting elderly or handicapped people. However, traditional support system or robot were not considering differences of each users’ health condition or environment. These systems are in danger of decaying user’s bodily or cognitive function. Therefore we studied intelligent functional space which is developed based on cognitive process to activate human mind and body. The research of intelligent functional space design is divided 3 groups: a) Ontology for cognitive process, b) Collection of life log, c) Enhancement of sensing technic. Firstly, we developed and enhanced the system which estimates activity of daily life by using non-binding sensor (ZigBee acceleration sensor and camera devices). The system recognize “When”, “Where”, “Who”, “What does he/she doing”, and estimate conditions (“walking”, “running”, “standing”, “lying”), 12 activities which is selected from Activity of Daily Living (ADL) (“Face washing”, “Tooth Brushing”), and dangerous motion (“falling down”). Secondly, these estimated activities stored in the database as life logs. The system constructed user-models from the database. Finally, we developed applications, elderly user support robot system, visualization service of life log by smartphone, and standing up support by intelligent while chair robot, by using the user model.

本研究旨在开发Kukanchi机器人系统，以实现激活用户身心的功能媒体。为了应对老龄化社会，智能机器人有望应用于支持老年人或残疾人。然而，传统的支持系统或机器人没有考虑到每个用户的健康状况或环境的差异。这些系统有损害用户身体或认知功能的危险。因此，我们研究了基于认知过程开发的激活人的身心的智能功能空间。智能化功能空间设计的研究主要分为三个方面：a）认知过程的本体，B）生活日志的收集，c）感知技术的增强。首先，我们开发并增强了使用非绑定传感器（ZigBee加速度传感器和摄像头设备）估计日常生活活动的系统。该系统识别“何时”、“何地”、“谁”、“他/她在做什么”，并估计条件（“行走”、“跑步”、“站立”、“躺下”）、从日常生活活动（ADL）（“洗脸”、“刷牙”）和危险动作（“跌倒”）中选择的12种活动。其次，这些估计的活动存储在数据库中作为生活日志。系统从数据库中构造用户模型。最后，我们开发了应用程序，老年用户支持机器人系统，通过智能手机的生活日志可视化服务，并站起来支持智能而椅机器人，通过使用用户模型。