Viability of Controlling Prosthetic Hand Utilizing Electroencephalograph (EEG) Dataset Signal

International Engineering Research and Innovation Symposium

Miskon, Azizi^1 ; Thanakodi, Suresh A.L.^1 ; Mazlan, Mohd Raihan^1 ; Azhar, Satria Mohd Haziq^1 ; Tawil, Siti Nooraya Mohd^1

Department of Electrical and Electronic Engineering, Faculty of Engineering, National Defence University of Malaysia, Kuala Lumpur

57000, Malaysia^1

关键词: Age factors;    Artificial hand;    EEG signals;    Electromyographs (EMG);    Hand movement;    Interface system;    Prosthetic hands;    Visual studios;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/160/1/012114/pdf
DOI  :  10.1088/1757-899X/160/1/012114

来源: IOP

【 摘 要 】

This project presents the development of an artificial hand controlled by Electroencephalograph (EEG) signal datasets for the prosthetic application. The EEG signal datasets were used as to improvise the way to control the prosthetic hand compared to the Electromyograph (EMG). The EMG has disadvantages to a person, who has not used the muscle for a long time and also to person with degenerative issues due to age factor. Thus, the EEG datasets found to be an alternative for EMG. The datasets used in this work were taken from Brain Computer Interface (BCI) Project. The datasets were already classified for open, close and combined movement operations. It served the purpose as an input to control the prosthetic hand by using an Interface system between Microsoft Visual Studio and Arduino. The obtained results reveal the prosthetic hand to be more efficient and faster in response to the EEG datasets with an additional LiPo (Lithium Polymer) battery attached to the prosthetic. Some limitations were also identified in terms of the hand movements, weight of the prosthetic, and the suggestions to improve were concluded in this paper. Overall, the objective of this paper were achieved when the prosthetic hand found to be feasible in operation utilizing the EEG datasets.