Fuzzy control of myoelectric prosthetic hand with touch feedback
Fuzzy control of myoelectric prosthetic hand with touch feedback
- Author(s): Luo Zhizeng and Yang Guangying
- DOI: 10.1049/cp:20050344
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- Author(s): Luo Zhizeng and Yang Guangying Source: IEE Irish Signals and Systems Conference 2005, 2005 p. 401 – 405
- Conference: IEE Irish Signals and Systems Conference 2005
- DOI: 10.1049/cp:20050344
- ISBN: 0 86341 549 0
- Location: Dublin, Ireland
- Conference date: 1-2 Sept. 2005
- Format: PDF
There are two important problems in the system of myoelectric prostheses with tactile sense. One is how to obtain the features of myoelectric signal (MES) and implement its pattern recognition. The other is the method of implementing the bionic control with touch feedback. Many experiments indicate that traditional method can not avoid the influence caused by the individual difference. In this paper, in order to reduce this disadvantage, extract the crosspower spectrum coefficient as its feature and eliminate unmeasured noise mixed in the gathered MES firstly. Then, design a fuzzy arithmetic to control the mobile interval of gripper. The experimental result indicates that, by using this method, it can not only get a higher recognition rate of motion pattern, but also realize the stable grasp and reduce the possible damage for grasped objects.
Inspec keywords: electromyography; grippers; feature extraction; touch (physiological); prosthetics; fuzzy control
Subjects: Manipulators; Fuzzy control; Prosthetic and orthotic control systems
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