AI-Enhanced Athletic Performance Shoe Technology

Publication ID: 24-11857027_0005_PTD
Published: October 27, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI-Enhanced Athletic Performance Shoe Technology,” Published Technical Disclosure No. 24-11857027_0005_PTD, Published October 27, 2025, available at https://archive.pr1or.art/24-11857027_0005_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. 11,857,027.

Background and Problem Solved

The original patent (U.S. Pat. No. 10,085,514) introduced energy absorption and return systems for footwear, but limitations in real-time feedback, customization, and predictive maintenance hindered its full potential. This invention addresses these limitations by incorporating advanced AI, machine learning, and sensor technologies to create a holistic athletic performance optimization system.

Novelty and Inventive Step

The invention's novelty lies in the integration of AI-powered biomechanical analysis, real-time feedback, and predictive maintenance, which enables personalized athletic coaching, injury prevention, and optimized athletic performance. The inventive step is the combination of advanced sensor technologies, machine learning, and AI-powered coaching to create a holistic system that surpasses the capabilities of the original patent.

Alternative Embodiments and Variations

Other embodiments may include additional features such as haptic feedback, augmented reality integration, or data analytics for team performance optimization. Variations may also include different wearable form factors, such as smart socks or athletic trackers, or integration with other sports equipment.

Potential Commercial Applications and Market

The invention has vast commercial potential in the athletic performance optimization market, targeting professional athletes, coaches, and sports teams. Additionally, it can be applied to the growing market of fitness enthusiasts and recreational athletes, with potential partnerships with sports equipment manufacturers, athletic apparel companies, and fitness centers.

CPC Classifications

SectionClassGroup
A A43 A43B13/181
F F16 F16F1/368
F F16 F16F3/10
F F16 F16F2224/0241
F F16 F16F2238/022

Field of Art

Athletic footwear technology, biomechanical sensor systems, and energy absorption/return mechanisms, involving interdisciplinary expertise in mechanical engineering, sports biomechanics, and advanced sensor integration

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced engineering degree, specialized knowledge in sports technology, understanding of sensor systems, machine learning applications, and biomechanical performance optimization techniques

Obviousness Rationale

A PHOSITA would recognize that integrating AI-powered biomechanical analysis with existing energy absorption shoe technologies represents a predictable technological evolution. The source patent's foundational work on shoe energy systems provides a clear technical framework for incorporating advanced sensor and machine learning capabilities. The proposed variations represent logical extensions of existing technological capabilities using standard engineering design approaches.

Obvious Combinations & Variations

Source Patent Element
Energy absorption and return systems with multiple flexible legs and spring mechanisms
PTD Variation
AI-powered sensor integration to monitor and optimize energy absorption performance
Obviousness Reasoning
Predictable application of known sensor technologies to enhance existing mechanical systems, representing a standard engineering design optimization approach
Source Patent Element
Shoe-based mechanical energy transfer systems
PTD Variation
Real-time biomechanical feedback and machine learning gait pattern adaptation
Obviousness Reasoning
Logical extension of existing performance tracking technologies using well-established machine learning techniques applicable to biomechanical analysis
Source Patent Element
Flexible leg and spring configurations for energy management
PTD Variation
Modular energy absorption modules customizable for different athletic activities
Obviousness Reasoning
Obvious design variation representing standard engineering practice of creating adaptable, configurable mechanical systems with interchangeable components
Source Patent Element
Shoe-based mechanical energy transfer mechanisms
PTD Variation
Predictive maintenance alerts for energy absorption system performance
Obviousness Reasoning
Straightforward application of condition monitoring techniques to mechanical systems, representing a predictable technological improvement
Source Patent Element
Mechanical energy absorption configurations
PTD Variation
Haptic feedback systems for athlete performance and injury prevention
Obviousness Reasoning
Known technique of integrating sensor-driven feedback mechanisms into performance-oriented technological systems
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857027 and the technological state of the art, the proposed variations in athletic shoe technology represent obvious combinations of known techniques that would be readily apparent to a person having ordinary skill in the art. The integration of AI, biomechanical sensing, and adaptive performance optimization constitutes a predictable technological progression that lacks inventive complexity sufficient to overcome standard obviousness considerations under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,027
TitleShoes, devices for shoes, and methods of using shoes
Assignee(s)Athletic Propulsion Labs LLC