Enhancing Mobility With Next-Generation Partial Hand Prosthesis Using Arduino Uno and Flex Sensors

The proposed work delves into the comprehensive design, development, and evaluation process of a 3D printed prosthetic arm, employing servo motors controlled by an Arduino Uno microcontroller to enable gesture mimicry through flex sensors integrated into a wearable glove. The primary objective is to provide an affordable and accessible solution for individuals with upper limb disabilities. The paper outlines the intricacies of the design process, system architecture, programming nuances, and rigorous testing procedures, showcasing promising results in terms of gesture accuracy, adaptability, and user-friendliness. The prosthetic arm demonstrates high precision in replicating various hand gestures. Future work will focus on enhancing the durability and responsiveness of the system to further improve its practical application. User feedback has been overwhelmingly positive, indicating significant potential for real-world adoption.

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Publication Details

Published
2024-09-26
DOI
https://doi.org/10.1109/icpeev63032.2024.10932116
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Enhancing Mobility With Next-Generation Partial Hand Prosthesis Using Arduino Uno and Flex Sensors

Nawin Ra, Krishna Kumba, Scott Stewart, Sai Sathwik Matury
Muscle activation and electromyography studies
article

Enhancing Mobility With Next-Generation Partial Hand Prosthesis Using Arduino Uno and Flex Sensors

Nawin Ra, Krishna Kumba, Scott Stewart, Sai Sathwik Matury
article en

Abstract

The proposed work delves into the comprehensive design, development, and evaluation process of a 3D printed prosthetic arm, employing servo motors controlled by an Arduino Uno microcontroller to enable gesture mimicry through flex sensors integrated into a wearable glove. The primary objective is to provide an affordable and accessible solution for individuals with upper limb disabilities. The paper outlines the intricacies of the design process, system architecture, programming nuances, and rigorous testing procedures, showcasing promising results in terms of gesture accuracy, adaptability, and user-friendliness. The prosthetic arm demonstrates high precision in replicating various hand gestures. Future work will focus on enhancing the durability and responsiveness of the system to further improve its practical application. User feedback has been overwhelmingly positive, indicating significant potential for real-world adoption.

Vellore Institute of Technology University (IN)
Vellore Institute of Technology, Chennai
Affordable and clean energy
Openalex Percentile: Top 75%
Muscle activation and electromyography studies
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Enhancing Mobility With Next-Generation Partial Hand Prosthesis Using Arduino Uno and Flex Sensors — Nawin Ra, Krishna Kumba, et al. · (2024) | TGRS Research Map | TGRS