Adaptive Thigh Prosthetic Component with AI-driven Movement Prediction

A next-generation thigh prosthetic component that integrates AI-driven movement prediction, neural interfaces, and real-time adjustment to provide users with a more natural and intuitive prosthetic experience.

The original thigh prosthetic component patent has limitations in terms of adaptability and user experience. The new inventive concept addresses these limitations by incorporating advanced technologies to create a more sophisticated and user-centric prosthetic system.

The adaptive thigh prosthetic component comprises a neural interface, machine learning module, and sensor array. The neural interface receives neural signals from the user, which are then processed by the machine learning module to predict desired movements. The sensor array detects changes in muscle activity, and the control unit adjusts the knee joint in response. The biomechanical simulation module predicts optimal movement patterns based on individual biomechanics, and the haptic feedback unit provides tactile feedback to the user. The user interface enables real-time adjustment of the prosthetic system's movement patterns.

The new inventive concept's integration of AI-driven movement prediction, neural interfaces, and real-time adjustment constitutes a significant departure from the original patent. The inventive step lies in the synergistic combination of these advanced technologies to create a more adaptive and user-centric prosthetic system.

Alternative embodiments could include the use of different machine learning algorithms, varying sensor array configurations, or alternative haptic feedback mechanisms. Additionally, the inventive concept could be adapted for use in other prosthetic applications, such as upper-limb prosthetics.

The adaptive thigh prosthetic component has significant commercial potential in the prosthetics industry, particularly in the areas of rehabilitation, sports, and everyday life. The target market includes individuals with lower-limb amputations, as well as healthcare providers and prosthetists.