Design and Control of Medical Prosthetic Hand Using Electromyography for Easy Hand Gesture

Losing a finger can have a profound impact on a person's mental and physical well-being, making it an incredibly difficult situation. In order to address this challenge, a microcontroller or computer can process verbal commands from the user, analyzing and translating them into actions that the prosthetic hand can perform, such as gripping, holding, releasing, and fine motor skills. This technology has the potential to greatly improve the quality of life for amputees, as it will make the prosthetic hand more natural and intuitive to use. To achieve this, the design of the hand is inspired by the human musculoskeletal system, allowing for flexible and lifelike movements in both a prosthetic hand and a humanoid robot hand. A bioinspired controller was created using 3D printing technology to operate a five-fingered robot hand and its mechanical parts. Additionally, sensors were utilized to detect muscle impulses and control hand movements.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icdscnc62492.2024.10939419
Citations
2
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.74
Controls
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article

Design and Control of Medical Prosthetic Hand Using Electromyography for Easy Hand Gesture

M. Logesh
2 citations
Hand Gesture Recognition Systems
0.74
article

Design and Control of Medical Prosthetic Hand Using Electromyography for Easy Hand Gesture

M. Logesh
article en
2 citations

Abstract

Losing a finger can have a profound impact on a person's mental and physical well-being, making it an incredibly difficult situation. In order to address this challenge, a microcontroller or computer can process verbal commands from the user, analyzing and translating them into actions that the prosthetic hand can perform, such as gripping, holding, releasing, and fine motor skills. This technology has the potential to greatly improve the quality of life for amputees, as it will make the prosthetic hand more natural and intuitive to use. To achieve this, the design of the hand is inspired by the human musculoskeletal system, allowing for flexible and lifelike movements in both a prosthetic hand and a humanoid robot hand. A bioinspired controller was created using 3D printing technology to operate a five-fingered robot hand and its mechanical parts. Additionally, sensors were utilized to detect muscle impulses and control hand movements.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
Openalex Percentile: Top 25%
Hand Gesture Recognition Systems
0.74
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