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General Perspectives on Electromyography Signal Features and Classifiers Used for Control of Human Arm Prosthetics

General Perspectives on Electromyography Signal Features and Classifiers Used for Control of Human Arm Prosthetics
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Author(s): Faruk Ortes (Istanbul University, Turkey), Derya Karabulut (Halic University, Turkey) and Yunus Ziya Arslan (Istanbul University, Turkey)
Copyright: 2019
Pages: 17
Source title: Advanced Methodologies and Technologies in Engineering and Environmental Science
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7359-3.ch001

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Abstract

Physically handicapped people encounter various kinds of obstacles and difficulties in their daily lives due to the restricted ability of motion. Assistive technologies represent a crucial challenge of scientific studies to overcome such an issue of reducing quality of life. Assistive devices such as wheelchairs, orthoses, and prostheses are designed and built to contribute rehabilitation progress and to regain lost functions. Although human body parts have intricate forms and functions, artificial devices and components integrating to the body are anticipated to compensate the fundamental functions related to user's demands. Upper- or lower-arm amputations also result in severe cosmetic matters. However, what is more important and obtrusive is the loss of primary functions including manipulating and grasping the objects besides the locomotor tasks which are performed by the human body during daily activity.

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