Mutual adaptation among man and machine by using f-MRI analysis

Authors:
Ryu Kato;Hiroshi Yokoi;Alejandro Hernandez Arieta;Wenwei Yu;Tamio Arai
Affiliations:
Department of Precision Engineering, The University of Tokyo, Japan;Department of Precision Engineering, The University of Tokyo, Japan;Department of Precision Engineering, The University of Tokyo, Japan;Department of Medical System Engineering, Chiba University, Japan;Department of Precision Engineering, The University of Tokyo, Japan
Venue:
Robotics and Autonomous Systems
Year:
2009

Citing 1
Cited 3

Robot tactile perception

Sensor-based robots

Development of drum CVT for a wire-driven robot hand

IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Development of an anthropomorphic prosthetic hand for man-machine interaction

ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part I
Formation conditions of mutual adaptation in human-agent collaborative interaction

Applied Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

A prosthetic device for disabled people requires new and reliable robotics technology. This paper describes the interesting reaction of our brain to an adaptable prosthetic system. The adaptable prosthetic system is composed of an EMG signal controlled robot hand with an EMG pattern recognition learning function for Transradial (below elbow) prostheses. The mutual adaptation between the system and the human body is analyzed using functional magnetic resonance imaging (f-MRI) in order to clarify the plasticity of the motor and sensory cortex area according to the changes in the prosthetic system. The developed prosthetic hand has 13 DOF: three motors on the thumb, two motors for each finger, and two motors for the wrist. The tactile feedback is applied by using surface electrical stimulus. The f-MRI data shows the process of replacement from a phantom limb image to the prosthetic hand image.