Secco, Emanuele Lindo and Caddet, Philippe and Nagar, Atulya K. (2020) 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.
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Abstract
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: https://www.springer.com/series/11156 |
| Faculty / Department: | Faculty of Human and Digital Sciences > School of Computer Science and the Environment |
| Depositing User: | Emanuele Secco |
| Date Deposited: | 28 Oct 2019 14:59 |
| Last Modified: | 13 Mar 2025 10:15 |
| URI: | https://hira.hope.ac.uk/id/eprint/2937 |
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