Intelligent Foot-Pedaling Exercise System

Publication ID: 24-11857833_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Foot-Pedaling Exercise System,” Published Technical Disclosure No. 24-11857833_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857833_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. 11,857,833.

Summary of the Inventive Concept

An intelligent foot-pedaling exercise system that leverages AI, machine learning, and IoT technologies to provide personalized, adaptive, and immersive exercise experiences, revolutionizing the way people engage in physical activity.

Background and Problem Solved

The original foot-pedaling exercise apparatus patent has limitations in terms of user experience, exercise effectiveness, and safety. The new inventive concept addresses these limitations by introducing advanced technologies that enable real-time user feedback, adaptive exercise intensity, and immersive simulation, thereby enhancing overall exercise performance and user engagement.

Detailed Description of the Inventive Concept

The intelligent foot-pedaling exercise system consists of a neural network-based fatigue prediction module, a machine learning-driven exercise personalization engine, a wearable device with haptic feedback, a virtual reality environment, and a cloud-based analytics platform. These components work in tandem to provide users with a highly personalized and engaging exercise experience. The system adjusts exercise intensity in real-time based on predicted fatigue levels, analyzes user biometric data to generate customized exercise regimens, and provides real-time feedback on proper form and technique through haptic feedback mechanisms. The virtual reality environment simulates various foot-pedaling exercises, adapting to the user's progress and adjusting exercise difficulty accordingly. The cloud-based platform enables remote monitoring and analysis of user exercises, providing personalized coaching and recommendations for improving exercise performance.

Novelty and Inventive Step

The new claims introduce a paradigm shift in foot-pedaling exercise technology by incorporating AI, machine learning, and IoT innovations, which are not obvious extensions of the original patent. The inventive concept's novelty lies in its ability to provide real-time user feedback, adaptive exercise intensity, and immersive simulation, thereby revolutionizing the exercise experience.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, varying types of wearable devices, or alternative virtual reality environments. Variations could also include integrating the system with other exercise equipment or incorporating additional sensors to track user biometric data.

Potential Commercial Applications and Market

The intelligent foot-pedaling exercise system has vast commercial potential in the health and fitness industry, with target markets including gyms, fitness studios, and individual consumers. The system's ability to provide personalized and immersive exercise experiences could lead to increased user engagement, improved exercise performance, and enhanced overall well-being.

CPC Classifications

SectionClassGroup
A A63 A63B22/18
A A63 A63B21/4034
A A63 A63B22/0025
A A63 A63B2022/0038
A A63 A63B2022/185
A A63 A63B2208/0233

Field of Art

Exercise equipment and biomechanical systems, specifically foot-pedaling exercise apparatus with a focus on rehabilitation, fitness technology, and adaptive exercise systems. Requires expertise in mechanical engineering, biomechanics, sensor integration, and exercise physiology

Person of Ordinary Skill (PHOSITA) Profile

A mechanical engineer or exercise technology specialist with advanced knowledge of exercise equipment design, sensor integration, machine learning applications in fitness, and understanding of human biomechanical movement patterns

Obviousness Rationale

A PHOSITA would recognize that integrating AI and machine learning technologies with existing foot-pedaling exercise apparatus represents a predictable evolution of exercise equipment design. The source patent's foundational mechanical exercise apparatus provides a clear technical framework that can be naturally extended through contemporary digital technologies. The proposed variations represent logical technological progressions using standard machine learning and sensor integration techniques.

Obvious Combinations & Variations

Source Patent Element
Rotation shaft and crank mechanism for foot-pedaling exercise
PTD Variation
Adding neural network-based fatigue prediction module to dynamically adjust exercise intensity
Obviousness Reasoning
Predictable application of machine learning to existing mechanical exercise systems, using known sensor and data analysis techniques to modify exercise parameters
Source Patent Element
Exercise apparatus configured for left and right foot movements
PTD Variation
Implementing virtual reality environment that simulates and adapts exercise difficulty
Obviousness Reasoning
Known technique of using digital simulation to enhance exercise equipment, representing a standard design choice in modern fitness technology
Source Patent Element
Tilt table with adjustable inclination for exercise apparatus
PTD Variation
Wearable device with haptic feedback to guide user movement and technique
Obviousness Reasoning
Predictable extension of existing biomechanical guidance systems, using standard sensor and feedback technologies to improve user experience
Source Patent Element
Exercise apparatus with movable components
PTD Variation
Cloud-based platform for remote monitoring and personalized exercise analysis
Obviousness Reasoning
Logical integration of IoT and cloud computing technologies with existing exercise equipment, representing a standard technological progression
Source Patent Element
Foot-pedaling exercise mechanism
PTD Variation
Machine learning algorithms generating customized exercise regimens based on biometric data
Obviousness Reasoning
Predictable application of data analysis techniques to personalize exercise experiences, using known machine learning approaches
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857833 and the technological state of the art, the claimed variations in the published technical disclosure would have been obvious to a person having ordinary skill in the art at the time of invention. The proposed system represents a straightforward combination of known exercise apparatus design principles with contemporary machine learning and sensor integration technologies, resulting in a predictable technological advancement that lacks inventive complexity.

Original Patent Information

Patent NumberUS 11,857,833
TitleFoot-pedaling exercise apparatus
Assignee(s)Honda Motor Co., Ltd.