Intelligent Prosthetics and Bio-AI Interfaces: Advancing Human-Centred Assistive Technologies

Thomas Byers

Intelligent Prosthetics and Bio-AI Interfaces: Advancing Human-Centred Assistive Technologies

Author(s)	Thomas Byers
Country	United States
Abstract	The convergence of artificial intelligence, biomedical engineering, robotics, neuroscience and wearable sensing is transforming the development of assistive technologies. Conventional prosthetic systems primarily restore physical function through mechanical or electronically controlled components, whereas intelligent prosthetics increasingly incorporate biosignal sensing, machine learning, adaptive control and human–machine interfaces to provide more natural and personalised interaction. This paper examines the emerging field of intelligent prosthetics and bio-AI interfaces, focusing on technologies that integrate human physiological signals with artificial intelligence to improve movement control, sensory feedback, adaptability and user experience. It explores electromyography-based control, peripheral nerve interfaces, brain–computer interfaces, computer vision, multimodal sensing and AI-driven intent recognition. Particular attention is given to closed-loop prosthetic systems capable of adapting to changes in user behaviour, environmental conditions and physiological signals. The paper also analyses challenges involving signal variability, calibration, latency, power consumption, cybersecurity, affordability, clinical validation and long-term human–device integration. A human-centred framework is proposed that combines physiological sensing, AI-based intention decoding, adaptive robotic control, sensory feedback and continuous personalisation. The paper argues that future prosthetics should move beyond replacing lost physical functions towards creating intelligent assistive ecosystems that learn from users and operate collaboratively with the human nervous system. Responsible development will require interdisciplinary collaboration between engineers, clinicians, neuroscientists, AI researchers and end users. The convergence of bio-AI interfaces and intelligent robotics could ultimately enable more natural, adaptive and personalised assistive technologies while improving independence and quality of life.
Keywords	: Intelligent Prosthetics, Bio-AI Interfaces, Assistive Technology, Artificial Intelligence, Human–Machine Interaction, Brain–Computer Interface, Electromyography, Neural Interfaces, Adaptive Robotics, Rehabilitation Engineering.
Field	Engineering
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-24

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American Journal of Advanced Multidisciplinary Research and Innovation

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Intelligent Prosthetics and Bio-AI Interfaces: Advancing Human-Centred Assistive Technologies

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