Smart Bionic Hand: Combining Hardware and AI For Adaptive Prosthetic Functionality

Year : 2025 | Volume : 12 | Issue : 02 | Page : 1-7
    By

    Sujeet More,

  • Mandar Karnik,

  • Vaishnavi Ramgir,

  • Saraswati Swar,

  • Vaijanti Rajure,

  1. Associate Professor, Department of Computer Engineering, KJEI’s Trinity College of Engineering and Research, Maharashtra, India
  2. Student, Department of Computer Engineering, KJEI’s Trinity College of Engineering and Research, Maharashtra, India
  3. Student, Department of Computer Engineering, KJEI’s Trinity College of Engineering and Research, Maharashtra, India
  4. Student, Department of Computer Engineering, KJEI’s Trinity College of Engineering and Research, Maharashtra, India
  5. Student, Department of Computer Engineering, KJEI’s Trinity College of Engineering and Research, Maharashtra, India

Abstract

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This research paper presents the development and integration of a bionic arm that leverages both hardware components and artificial intelligence (AI) models for enhanced functionality and user interaction. The hardware design includes key components such as servo motors, an Arduino UNO microcontroller, electromyography (EMG) sensors, and a lithium-ion battery. The EMG sensors detect muscle signals, which serve as inputs for controlling the arm’s movements, while the servo motors are responsible for translating these signals into mechanical motion. On the software side, AI and machine learning (ML) algorithms are employed to interpret EMG sensor data, enabling the bionic arm to learn and adapt to the user’s muscle patterns over time. This integration aims to improve the arm’s accuracy, responsiveness, and customization, offering a more natural user experience. The system’s adaptability enhances motor control and opens the door for future prosthetic devices to become more intuitive. This research explores the potential of combining hardware with AI to develop more functional, user-friendly prosthetics, addressing challenges such as signal processing, energy efficiency, and real-time adaptability.

Keywords: Bionic arm prosthetics, artificial intelligence (AI), machine learning (ML), servo motors, Arduino UNO, electromyography (EMG), muscle signals, signal processing, motor control

[This article belongs to Journal of Mechatronics and Automation ]

How to cite this article:
Sujeet More, Mandar Karnik, Vaishnavi Ramgir, Saraswati Swar, Vaijanti Rajure. Smart Bionic Hand: Combining Hardware and AI For Adaptive Prosthetic Functionality. Journal of Mechatronics and Automation. 2025; 12(02):1-7.
How to cite this URL:
Sujeet More, Mandar Karnik, Vaishnavi Ramgir, Saraswati Swar, Vaijanti Rajure. Smart Bionic Hand: Combining Hardware and AI For Adaptive Prosthetic Functionality. Journal of Mechatronics and Automation. 2025; 12(02):1-7. Available from: https://journals.stmjournals.com/joma/article=2025/view=0


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Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 27/03/2025
Accepted 21/04/2025
Published 05/05/2025
Publication Time 39 Days
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