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Paper Abstract and Keywords
Presentation 2013-01-26 09:55
Evaluation of Outliers Based on a Petal Structure of Surface EMG Signals in Motion Type Recognition for a Myoelectric Forearm Prosthesis
Takuya Abiru, Hiroaki Sato, Masashi Oda, Hidetoshi Nagai, Toshiaki Ejima (Kyushu Inst. of Tech.), Nobuyuki Kimura (Active State), Yoshimitsu Kihara (Robo Future) MBE2012-83
Abstract (in Japanese) (See Japanese page) 
(in English) We are developing a Myoelectric Forearm Prosthesis with five-fingered Robot Hand.
If we can visualize how a controller in a prosthesis recognize surface EMG signals of a motion sample,that is useful to users and their trainers for improving efficiency and effectivity in training for handling a prothetic hand.
For visualization,we compressed high-dimensional feature vectors acquired from wavelet coefficients to three-dimensional vectors by LFDA in our previous work.
The 3D vectors of motion samples construct a structure in which each sample distribution of a motion radiate from a distribution of "no-motion" samples.
We call the structure "Petal structure".
A Petal structure can make distributions of motions visualize.
However,it is difficult for a user of a prosthetic hand to understand the position of the motion and its relationship with each distributions,
and to estimate how accurately he activate his muscles for a target motion.To control a prosthetic hand smoothly,we must properly discriminate outliers from samples based on accurate motions.
But in the past,we didn't define clear standards for it.
Therefore,in this paper,we propose a method to demonstrate degree of separation about characteristics of motions based on radial features of petals on Petal structure,and by the same standards to evaluate and visualize outliers.
Keyword (in Japanese) (See Japanese page) 
(in English) Myoelectric Forearm Prosthesis / visualization / Petal structure / outliers / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 417, MBE2012-83, pp. 55-59, Jan. 2013.
Paper # MBE2012-83 
Date of Issue 2013-01-18 (MBE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee MBE  
Conference Date 2013-01-25 - 2013-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technologyy 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2013-01-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of Outliers Based on a Petal Structure of Surface EMG Signals in Motion Type Recognition for a Myoelectric Forearm Prosthesis 
Sub Title (in English)  
Keyword(1) Myoelectric Forearm Prosthesis  
Keyword(2) visualization  
Keyword(3) Petal structure  
Keyword(4) outliers  
Keyword(5)  
Keyword(6)  
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1st Author's Name Takuya Abiru  
1st Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
2nd Author's Name Hiroaki Sato  
2nd Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
3rd Author's Name Masashi Oda  
3rd Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
4th Author's Name Hidetoshi Nagai  
4th Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
5th Author's Name Toshiaki Ejima  
5th Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech.)
6th Author's Name Nobuyuki Kimura  
6th Author's Affiliation Active State (Active State)
7th Author's Name Yoshimitsu Kihara  
7th Author's Affiliation Robo Future (Robo Future)
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Speaker Author-1 
Date Time 2013-01-26 09:55:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2012-83 
Volume (vol) vol.112 
Number (no) no.417 
Page pp.55-59 
#Pages 5 
Date of Issue 2013-01-18 (MBE) 

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