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


Kato, R; Yokoi, H; Hernandez Arieta, A; Yu, W; Arai, T (2009). Mutual adaptation among man and machine by using f-MRI analysis. Robotics and Autonomous Systems, 57(2):161-166.

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.

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.

Citations

14 citations in Web of Science®
18 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Uncontrolled Keywords:Human adaptation; Learning machine; Machine adaptation; EMG prosthetic hand; Pattern recognition
Language:English
Date:28 February 2009
Deposited On:01 Apr 2010 10:18
Last Modified:05 Apr 2016 14:04
Publisher:Elsevier
ISSN:0921-8890
Additional Information:Selected papers from 9th International Conference on Intelligent Autonomous Systems (IAS-9), 9th International Conference on Intelligent Autonomous Systems
Publisher DOI:https://doi.org/10.1016/j.robot.2008.07.005

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