Published Technical Disclosure Archive

Adaptive Thigh Prosthetic Component with AI-driven Movement Prediction

Publication ID: 24-11857394_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Thigh Prosthetic Component with AI-driven Movement Prediction,” Published Technical Disclosure No. 24-11857394_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857394_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,394.

Summary of the Inventive Concept

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.

Background and Problem Solved

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.

Detailed Description of the Inventive Concept

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.

Novelty and Inventive Step

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 and Variations

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.

Potential Commercial Applications and Market

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.

CPC Classifications

SectionClassGroup
A A61 A61F2/64
A A61 A61F2/642
A A61 A61F2/6607
A A61 A61F2/74
A A61 A61F2002/6614

Field of Art

Prosthetic biomechanical engineering, focusing on lower limb prosthetics with articulated knee joint mechanisms, requiring advanced understanding of mechanical engineering, biomechanics, and human-machine interface design

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or prosthetic design specialist with expertise in mechanical design, neural interfaces, machine learning applications in biomechatronic systems, and advanced sensor integration techniques

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning and neural interfaces with the existing thigh prosthetic component represents a predictable technological evolution. The source patent's adjustable knee joint mechanism provides a clear foundation for incorporating intelligent movement prediction and adaptive control. The technical variations represent incremental improvements using known techniques in neural engineering and prosthetic design.

Obvious Combinations & Variations

Source Patent Element
Adjustable knee joint with proximal and distal components connected by articulated arms
PTD Variation
Adding neural interface and machine learning module to predict and adjust knee joint movement
Obviousness Reasoning
Predictable application of machine learning to existing mechanical prosthetic systems, representing a known technique for enhancing prosthetic functionality
Source Patent Element
Knee joint with adjustable flexion stop
PTD Variation
Implementing sensor array to dynamically detect muscle activity and automatically adjust knee joint positioning
Obviousness Reasoning
Logical extension of existing adjustability concept using standard sensor integration techniques
Source Patent Element
Thigh prosthetic component with mechanical articulation
PTD Variation
Incorporating biomechanical simulation module to predict optimal movement patterns based on individual user biomechanics
Obviousness Reasoning
Applying computational modeling techniques to personalize prosthetic movement, representing a standard approach in adaptive biomechatronic design
Source Patent Element
Mechanical knee joint with configurable components
PTD Variation
Adding haptic feedback unit to provide real-time tactile information about prosthetic movement
Obviousness Reasoning
Known technique for improving human-machine interaction in prosthetic systems
Source Patent Element
Prosthetic component with adjustable connection mechanisms
PTD Variation
Implementing user interface for real-time adjustment of prosthetic movement patterns
Obviousness Reasoning
Predictable user experience enhancement using standard human-computer interaction design principles
35 U.S.C. § 103 Summary: Based on US Patent 11857394's disclosure of an adjustable thigh prosthetic component, the present publication demonstrates that integrating neural interfaces, machine learning, and adaptive sensor technologies represents an obvious technological progression for a person having ordinary skill in prosthetic biomechanical engineering. The variations constitute predictable combinations of known techniques that would be readily apparent to a skilled practitioner seeking to enhance prosthetic functionality through intelligent design approaches.

Original Patent Information

Patent NumberUS 11,857,394
TitleThigh prosthetic component