Abstracting the complexities of natural walking, the MotionShift Prosthetic Device utilizes artificial neural networks to replicate human-like movements. This novel approach enables users to experience a more intuitive and fluid gait pattern, closely resembling their original walking motion. By integrating advanced machine learning techniques, the MotionShift Prosthetic adapts to the user’s individual gait characteristics, making it customizable and responsive. This personalized adaptation allows for enhanced stability, balance, and overall functionality, leading to an improved user experience. Through its innovative design and implementation, our devices offers individuals with limb loss the opportunity to regain a more natural and efficient walking, at a much more affordable price.
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Participant(s)
Mihai Alexandru Hulubeac
Antonie Rares Grigoras - Connector.
Country
Romania
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Category
Engineering
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