AI-Enhanced Wearable Physical Training Apparatus

Publication ID: 24-11857830_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “AI-Enhanced Wearable Physical Training Apparatus,” Published Technical Disclosure No. 24-11857830_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857830_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. 11,857,830.

Summary of the Inventive Concept

A next-generation, wearable physical training apparatus that integrates AI-powered bio-sensing, real-time performance monitoring, and personalized exercise protocols to revolutionize the fitness industry.

Background and Problem Solved

The original patent discloses a physical training apparatus with a flywheel mechanism, but it lacks the ability to adapt to user performance, provide real-time feedback, and offer personalized training regimens. The new inventive concept addresses these limitations by incorporating AI, bio-sensing, and machine learning to create a more effective and engaging training experience.

Detailed Description of the Inventive Concept

The AI-enhanced wearable physical training apparatus comprises a modular, detachable housing incorporating a miniaturized flywheel mechanism and a bio-sensing module. The bio-sensing module monitors user performance in real-time, while the AI-powered system analyzes the data and generates customized exercise protocols based on machine learning algorithms. The apparatus can be integrated with a virtual reality-based training system, a cloud-based platform for tracking and analyzing physical training data, and a mobile application for configuring the device.

Novelty and Inventive Step

The new claims introduce the innovative combination of AI, bio-sensing, and machine learning to physical training apparatuses, which is not obvious from the original patent. The wearable, modular design and real-time performance monitoring capabilities are also novel and non-obvious features.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include variations in the bio-sensing module, such as using different types of sensors or integrating with other wearable devices. The AI-powered system could also be adapted for use in other exercise equipment or virtual training platforms.

Potential Commercial Applications and Market

The AI-enhanced wearable physical training apparatus has significant commercial potential in the fitness industry, particularly in the growing markets of personalized fitness and virtual training. The device could be marketed to individual consumers, gyms, and fitness studios, and could also be integrated with existing fitness platforms and applications.

CPC Classifications

SectionClassGroup
A A63 A63B21/227
A A63 A63B21/00061
A A63 A63B21/153
A A63 A63B21/16
A A63 A63B21/4035

Field of Art

Physical training apparatus design, exercise equipment technology, with expertise in mechanical systems, biomechanical sensing, and exercise performance tracking

Person of Ordinary Skill (PHOSITA) Profile

A mechanical engineer or exercise equipment designer with advanced knowledge of fitness technology, sensor integration, mechanical systems design, and basic machine learning principles

Obviousness Rationale

A PHOSITA would recognize that integrating AI and bio-sensing technologies into existing physical training apparatus represents a predictable technological evolution. The source patent's foundational mechanical design provides a clear framework for implementing advanced sensing and adaptive technologies. The modular approach and performance monitoring capabilities are natural extensions of existing exercise equipment design principles.

Obvious Combinations & Variations

Source Patent Element
Flywheel mechanism with spindle and bearings in a housing
PTD Variation
Miniaturized flywheel mechanism integrated with bio-sensing module in a wearable, modular housing
Obviousness Reasoning
Miniaturization of mechanical components is a known design technique, and integrating sensors into exercise equipment represents a predictable technological progression
Source Patent Element
Physical training apparatus with pivotable housing connection
PTD Variation
Wearable apparatus with wireless connectivity and mobile application configuration
Obviousness Reasoning
Adding wireless connectivity and software configuration is an obvious enhancement using standard IoT and mobile technology integration techniques
Source Patent Element
Training apparatus with mechanical performance tracking
PTD Variation
AI-powered system generating customized exercise protocols through machine learning analysis
Obviousness Reasoning
Adaptive performance tracking using machine learning algorithms is a predictable technological solution for personalizing exercise experiences
Source Patent Element
Fixed physical training apparatus design
PTD Variation
Modular, upgradeable apparatus with interchangeable exercise modules
Obviousness Reasoning
Modular design represents a standard engineering approach to creating flexible, adaptable technological systems with multiple configuration options
Source Patent Element
Mechanical exercise tracking mechanism
PTD Variation
Cloud-based platform with predictive analytics for performance optimization
Obviousness Reasoning
Extending mechanical performance tracking to cloud-based analytics is an obvious technological progression using standard data processing and machine learning techniques
35 U.S.C. § 103 Summary: Based on US Patent 11857830's foundational physical training apparatus design, the present disclosure demonstrates that a Person Having Ordinary Skill In The Art would find the integration of AI, bio-sensing, and adaptive technologies into exercise equipment an obvious technological extension, rendering potential claims covering such variations anticipated and non-patentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,830
TitlePhysical training apparatus
Assignee(s)Kynett Holding B.V.