Human-machine mutual adaptation technologies that induc brain adaptation

2015 Fiscal Year Final Research Report

• Project/Area Number: 25249025
• Research Category: Grant-in-Aid for Scientific Research (A)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Intelligent mechanics/Mechanical systems
• Research Institution: The University of Electro-Communications
• Principal Investigator: Yokoi Hiroshi 電気通信大学, 情報理工学(系)研究科, 教授 (90271634)
• Co-Investigator(Kenkyū-buntansha): TAKAYAMA Sinichiro 国立研究開発法人国立成育医療研究センター, 臓器・運動器病態外科部, 部長 (40138045) ; IKOMA Katsunori 北海道大学, 大学病院, 教授 (70202918) ; SHIMOJO Makoto 電気通信大学, 大学院情報理工学研究科, 教授 (90292474) ; KATO Ryu 横浜国立大学, 大学院工学研究院, 准教授 (70516905)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 人間機械システム / 筋電義手 / 感覚フィードバック / 干渉駆動 / 全方位センサ / 機能的電気刺激

Outline of Final Research Achievements

In this project, we studied the technologies to develop the myoelectric prosthetic hand to substitute one’s own hand by inducing the mutual adaptation between human and machine. A highly stretchable elastomer glove was developed by transcribing the texture of a human hand. Omnidirectional force sensors made of conductive silicon were embedded into the glove to introduce haptic function for sensory feedback. The interactive-tendon-driven mechanism was adopted in the design of robotic hand and arm to balance increasing their forces and functions with reducing their sizes and weights. To control a myoelectric prosthetic hand with electroencephalography (EEG) was also investigated in an experiment in which gaze points on the hand were identified from the P300 EEG response.

Free Research Field

ロボット工学，福祉医用機械