Development of an Algorithm for the EMG Control of Prosthetic Hand

Secco, Emanuele Lindo and Caddet, Philippe and Nagar, Atulya K. (2019) Development of an Algorithm for the EMG Control of Prosthetic Hand. In: 9th International Conference ON Soft Computing for Problem Solving - SocProS 2019, 2-4 September, 2019, Liverpool Hope University, Liverpool, UK. (Accepted for Publication)

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This work presents the development of a new algorithm for the con-trol of robotic and prosthetic hands: the proposed architecture is made of an EMG wearable sensor and a personalized Graphical User Interface (GUI).
The proposed system inherits and processes eight EMG signals which are local-ly amplified and rectified within the wearable device: then a signal classifier al-lows piloting a 2 degree of freedom cursor on the GUI in order to reach a pro-vided target in the Cartesian space.
The aim of this study is to finally provide a user-friendly interface for training human subjects on reaching movements with the EMG signals of their forearm muscles. This approach as a twofold objectives: (1) to maintain, train and sup-port the muscular tone and (2) to provide an interface for the physiotherapy and preparation of prosthetic use in daily life.

Item Type: Conference or Workshop Item (Paper)
Additional Information and Comments: This is the author's version of a paper that was presented at the 9th International Conference on Soft Computing for Problem Solving, Liverpool, 2019. The conference proceedings will be published as part of Springer's AISC series:
Faculty / Department: Faculty of Science > Mathematics and Computer Science
Depositing User: Emanuele Secco
Date Deposited: 28 Oct 2019 14:59
Last Modified: 01 Nov 2019 16:02

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