An EMG Keyboard for Forearm Amputees

A high-efficiency, easy-to-use input device is not only important for data entry but also for human-computer interaction. To date, there has been little research on input devices with many degrees of freedom (DOF) that can be used by the handicapped. This paper presents the development of an electro...

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Main Authors: Wenwei Yu, Ryu Kato, Fukuda Fabio, Hiroshi Yokoi, Yukinori Kakazu
Format: Article
Language:English
Published: Wiley 2003-01-01
Series:Applied Bionics and Biomechanics
Online Access:http://dx.doi.org/10.3233/ABB-2003-9693530
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author Wenwei Yu
Ryu Kato
Fukuda Fabio
Hiroshi Yokoi
Yukinori Kakazu
author_facet Wenwei Yu
Ryu Kato
Fukuda Fabio
Hiroshi Yokoi
Yukinori Kakazu
author_sort Wenwei Yu
collection DOAJ
description A high-efficiency, easy-to-use input device is not only important for data entry but also for human-computer interaction. To date, there has been little research on input devices with many degrees of freedom (DOF) that can be used by the handicapped. This paper presents the development of an electromyography (EMG)-based input device for forearm amputees. To overcome the difficulties in analysing EMG and realising high DOF from biosignals, the following were integrated: (1) an online learning method to cope with nonlinearity and the individual difference of EMG signals; (2) a smoothing algorithm to deal with noisy recognition results and transition states; and (3) a modified Huffman coding algorithm to generate the optimal code, taking expected error and input efficiency into consideration. Experiments showed the validity of the system and the possibility for development of a quiet, free-posture (no postural restriction) input device with many DOF for users, including forearm amputees.
format Article
id doaj-art-86556c5bdfe34b70bab171ff0e4345b1
institution Kabale University
issn 1176-2322
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language English
publishDate 2003-01-01
publisher Wiley
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series Applied Bionics and Biomechanics
spelling doaj-art-86556c5bdfe34b70bab171ff0e4345b12025-02-03T06:06:50ZengWileyApplied Bionics and Biomechanics1176-23221754-21032003-01-0111334310.3233/ABB-2003-9693530An EMG Keyboard for Forearm AmputeesWenwei Yu0Ryu Kato1Fukuda Fabio2Hiroshi Yokoi3Yukinori Kakazu4Complex Engineering Department, Hokkaido University, Sapporo, JapanComplex Engineering Department, Hokkaido University, Sapporo, JapanComplex Engineering Department, Hokkaido University, Sapporo, JapanComplex Engineering Department, Hokkaido University, Sapporo, JapanComplex Engineering Department, Hokkaido University, Sapporo, JapanA high-efficiency, easy-to-use input device is not only important for data entry but also for human-computer interaction. To date, there has been little research on input devices with many degrees of freedom (DOF) that can be used by the handicapped. This paper presents the development of an electromyography (EMG)-based input device for forearm amputees. To overcome the difficulties in analysing EMG and realising high DOF from biosignals, the following were integrated: (1) an online learning method to cope with nonlinearity and the individual difference of EMG signals; (2) a smoothing algorithm to deal with noisy recognition results and transition states; and (3) a modified Huffman coding algorithm to generate the optimal code, taking expected error and input efficiency into consideration. Experiments showed the validity of the system and the possibility for development of a quiet, free-posture (no postural restriction) input device with many DOF for users, including forearm amputees.http://dx.doi.org/10.3233/ABB-2003-9693530
spellingShingle Wenwei Yu
Ryu Kato
Fukuda Fabio
Hiroshi Yokoi
Yukinori Kakazu
An EMG Keyboard for Forearm Amputees
Applied Bionics and Biomechanics
title An EMG Keyboard for Forearm Amputees
title_full An EMG Keyboard for Forearm Amputees
title_fullStr An EMG Keyboard for Forearm Amputees
title_full_unstemmed An EMG Keyboard for Forearm Amputees
title_short An EMG Keyboard for Forearm Amputees
title_sort emg keyboard for forearm amputees
url http://dx.doi.org/10.3233/ABB-2003-9693530
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