The integration of Artificial Intelligence (AI) and Augmented Reality (AR) in prosthetic systems is transforming rehabilitation and user training experiences, offering a personalized, adaptive approach to recovery. AI-driven prosthetics leverage machine learning algorithms to continuously analyze user data, providing real-time adjustments that optimize the functionality of the device. Meanwhile, AR interfaces enhance user interaction by offering immersive visual feedback that aids in motor learning and task performance. This chapter explores the synergistic use of AI and AR technologies in prosthetics, highlighting their potential to personalize rehabilitation programs, improve motor skills, and foster user engagement. The chapter further examines the challenges and opportunities associated with the scalability of AI-AR systems, including the integration of personalized feedback mechanisms and the design of intuitive user interfaces. By addressing both technological and psychological aspects of prosthetic rehabilitation, this chapter offers a comprehensive overview of how AI and AR integration can significantly enhance recovery outcomes. The findings suggest that personalized AI-AR systems can significantly improve user satisfaction, motivation, and rehabilitation success, while also addressing key challenges such as cost, scalability, and accessibility. The chapter emphasizes the potential for future innovations in AI-AR prosthetic systems to revolutionize the field of rehabilitation.ÂÂÂ
The integration of Artificial Intelligence (AI) and Augmented Reality (AR) into prosthetic systems represents a significant leap in the field of rehabilitation technology [1]. Traditional prosthetics primarily focused on restoring basic functionality, but advancements in AI and AR are revolutionizing this approach by offering more adaptive, personalized, and immersive rehabilitation experiences [2]. AI enables prosthetic devices to learn from user interactions and adjust their behavior in real-time, offering customized feedback and improving the overall functionality of the device [3]. Meanwhile, AR provides users with visual feedback through interactive interfaces, allowing for real-time performance tracking and guidance during rehabilitation exercises [4]. This convergence of technologies offers the potential to not only restore physical functions but also enhance motor learning, optimize rehabilitation outcomes, and promote user engagement [5]. As a result, AI and AR are increasingly being integrated into prosthetic systems to provide a more holistic approach to user rehabilitation and training [6].
Personalization is a cornerstone of modern rehabilitation, and the fusion of AI and AR technologies in prosthetics offers a promising pathway to achieving this. AI algorithms, powered by machine learning, continuously monitor user movements and adjust prosthetic functionality to accommodate changes in the user’s physical condition and rehabilitation progress [7]. The personalized feedback provided by AI systems ensures that the prosthetic adapts to each user’s specific needs, ensuring optimal performance and comfort [8]. At the same time, AR interfaces can offer users an immersive experience by overlaying real-time visual instructions, motion tracking, and progress indicators, allowing for a more intuitive and engaging rehabilitation process [9]. Personalized training, based on the unique needs and abilities of each user, fosters greater motivation, reduces rehabilitation fatigue, and improves the overall user experience [10]. As these technologies continue to evolve, the potential to personalize and optimize rehabilitation routines has the capacity to significantly enhance outcomes and improve the quality of life for individuals with prosthetic limbs [11].
