Muscle Computer Interface for Recovering People


Year : 2024 | Volume : 11 | Issue : 03 | Page : 8-15
    By

    Dr Trupti V N,

  • Ashok Kumar,

  • Harsh Golchha,

  • Shriram S,

  • Sunil P,

  • Imran Miah,

  1. Assistant Professor, Department of Electrical & Electronics Engineering, Jain (Deemed to be University, Karnataka, India
  2. U G Student, Department of Electrical & Electronics Engineering, Jain (Deemed to be University, Karnataka, India
  3. U G Student, Department of Electrical & Electronics Engineering, Jain (Deemed to be University, Karnataka, India
  4. U G Student, Department of Electrical & Electronics Engineering, Jain (Deemed to be University, Karnataka, India
  5. U G Student, Department of Electrical & Electronics Engineering, Jain (Deemed to be University), Karanataka, India
  6. U G Student, Department of Electrical & Electronics Engineering, Jain (Deemed to be University), Karanataka, India

Abstract

The muscle-computer interface (MCI) has emerged as a promising technology for enhancing the recovery process of individuals with paralyzed limbs or disabilities. This paper explores the application of MCI in the context of recovering people and addresses the challenges faced by such individuals. Traditional rehabilitation methods often have limitations in terms of engagement, feedback, and real-time interaction, which hinder the recovery progress. In response to these challenges, the proposed MCI system integrates virtual reality, electromyography (EMG) signal analysis, and robotic rehabilitation to provide an immersive and interactive rehabilitation solution. The integration of robotic rehabilitation enhances the recovery process by providing physical support and assistance, allowing individuals to regain motor control and perform daily tasks more effectively. The new ideas of the proposed MCI system are manifold. It offers a user-friendly and interactive rehabilitation experience, empowering individuals to actively participate in their recovery. Real-time feedback and monitoring provided by EMG signal analysis enable precise control and coordination of movements, enhancing the effectiveness of rehabilitation. The integration of virtual reality and robotics creates a safe and immersive environment that promotes motivation and engagement, leading to improved therapy outcomes. Additionally, the proposed system has the potential to reduce the cost of rehabilitation while providing an accessible and efficient solution.

Keywords: MCI system, EMG Signal analysis, VR, myoelectric prosthetic leg

[This article belongs to Journal of Mechatronics and Automation (joma)]

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How to cite this article:
Dr Trupti V N, Ashok Kumar, Harsh Golchha, Shriram S, Sunil P, Imran Miah. Muscle Computer Interface for Recovering People. Journal of Mechatronics and Automation. 2024; 11(03):8-15.
How to cite this URL:
Dr Trupti V N, Ashok Kumar, Harsh Golchha, Shriram S, Sunil P, Imran Miah. Muscle Computer Interface for Recovering People. Journal of Mechatronics and Automation. 2024; 11(03):8-15. Available from: https://journals.stmjournals.com/joma/article=2024/view=188946


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Regular Issue Subscription Original Research
Volume 11
Issue 03
Received 27/08/2024
Accepted 11/10/2024
Published 12/12/2024
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