Smart Prosthetics With AI-Based Motion Prediction

Authors

  • M. Navya, T. Rama Krishna, Navya Padma Priya, Paidimalla Nagarju

Keywords:

Smart Prosthetics, Artificial Intelligence, Machine Learning, User-Centered Design, Prosthetic Mobility.

Abstract

This study analyzes the transformational impact of artificial intelligence (AI) in prosthetics, particularly emphasizing the advancement of intelligent prosthetic devices aimed at improving mobility, flexibility, and user autonomy. Conventional prosthetic systems provide functional mobility but lack the intuitive and adaptable characteristics required for intricate movement. Advancements in machine learning and sensor technologies have enabled smart prostheses to provide users with a more natural and personalized experience. The research examines the design ideas, AI integration techniques, and user-centered methodologies in the creation of intelligent prostheses. Challenges like expenses, user education, and technological constraints are examined in conjunction with prospects for future progress. Case examples are used to demonstrate current breakthroughs, emphasizing the multidisciplinary teamwork propelling the area ahead. The report finishes by discussing future developments in AI-enhanced prosthetic development, which seek to promote the physiological health and psychological well-being of amputees.

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Published

05.05.2025

How to Cite

M. Navya. (2025). Smart Prosthetics With AI-Based Motion Prediction. International Journal of Intelligent Systems and Applications in Engineering, 11(4), 1024 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7478

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Section

Research Article

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