Evolutionary Dynamic Motion Force Sensor Module

Publication ID: 24-11857843_0005_PTD

Published: October 28, 2025

Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Evolutionary Dynamic Motion Force Sensor Module,” Published Technical Disclosure No. 24-11857843_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857843_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. 11,857,843.

Summary of the Inventive Concept

A next-generation dynamic force module system that adapts to user preferences, integrates AI-powered analytics, and offers a cloud-based training platform, revolutionizing the way people exercise and train.

Background and Problem Solved

The original Dynamic Motion Force Sensor Module patent, while innovative, has limitations in terms of adaptability, data analysis, and user engagement. The new inventive concept addresses these limitations by introducing a modular, AI-driven, and cloud-connected system that learns from user behavior and provides personalized feedback and training recommendations.

Detailed Description of the Inventive Concept

The Evolutionary Dynamic Motion Force Sensor Module system comprises interchangeable force generation units, a compact high-resolution torque sensor, and an AI-powered analytics engine. The system learns and adapts to a user's exercise patterns and preferences over time, providing real-time feedback and training recommendations. The cloud-based platform enables users to access a vast library of exercise routines, training programs, and personalized coaching services.

Novelty and Inventive Step

The new claims introduce a paradigm shift in dynamic force sensing and training by incorporating AI-driven analytics, cloud connectivity, and modular force generation units. These innovations enable a more personalized, adaptive, and immersive exercise experience, making the original inventive concept obsolete.

Alternative Embodiments and Variations

Alternative embodiments may include wearable devices, autonomous exercise equipment, or virtual reality-based training environments. Variations could involve different sensor types, AI algorithms, or cloud-based infrastructure configurations.

Potential Commercial Applications and Market

The Evolutionary Dynamic Motion Force Sensor Module has vast commercial potential in the fitness, sports, and healthcare industries. Target markets include gyms, fitness studios, professional sports teams, and individual consumers seeking personalized training and exercise experiences.

CPC Classifications

Section	Class	Group
A	A63	A63B24/0087
A	A63	A63B21/0058
A	A63	A63B21/153
A	A63	A63B24/0062
A	A63	A63B71/0054
A	A63	A63B71/0622
A	A63	A63B2024/0093
A	A63	A63B2071/0072
A	A63	A63B2071/0625
A	A63	A63B2220/51
A	A63	A63B2220/833
A	A63	A63B2225/50

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Exercise and fitness technology, specifically dynamic force measurement systems, sensor integration, and performance tracking technologies involving biomechanical sensors, motion analysis, and adaptive training platforms

Person of Ordinary Skill (PHOSITA) Profile

A professional with expertise in mechanical engineering, sensor design, exercise science, and software systems, possessing knowledge of biomechanical measurement techniques, machine learning applications in fitness technology, and cloud-based data analytics

Obviousness Rationale

A PHOSITA would recognize that the PTD represents a predictable extension of the source patent's core dynamic force sensing technology by integrating contemporary software, cloud connectivity, and machine learning techniques. The fundamental torque measurement and force tracking concepts from the source patent provide a clear technological foundation for the PTD's more advanced system. The variations represent logical technological progressions using standard engineering design choices and readily available computational technologies.

Obvious Combinations & Variations

Source Patent Element

Torque measurement system with load cells for tracking rotational force data

PTD Variation

AI-powered analytics engine integrated with high-resolution torque sensor for personalized exercise tracking

Obviousness Reasoning

Combining sensor data with machine learning is a known technique for extracting enhanced insights, representing a predictable application of existing computational methods to established sensor technologies

Source Patent Element

Dynamic force module with modular sensor configuration

PTD Variation

Interchangeable force generation units with cloud-based training platform

Obviousness Reasoning

Extending a modular hardware design to include networked software platforms is an obvious design evolution using standard cloud computing and IoT integration techniques

Source Patent Element

Electromechanical motor with real-time force tracking

PTD Variation

Virtual reality-based dynamic force training environment with immersive exercise experiences

Obviousness Reasoning

Applying existing force measurement technologies to emerging virtual reality platforms represents a straightforward technological adaptation using known interaction design principles

Source Patent Element

Torque sensor system for physical activity monitoring

PTD Variation

Wearable dynamic motion force sensor module with autonomous performance feedback

Obviousness Reasoning

Miniaturizing and personalizing existing sensor technologies is a predictable engineering progression, utilizing standard sensor integration and mobile computing techniques

Source Patent Element

Force measurement system with closed-loop motor control

PTD Variation

Self-adjusting force generation unit with machine learning-based exercise routine generation

Obviousness Reasoning

Implementing adaptive control systems using machine learning represents a natural technological extension of existing closed-loop control methodologies

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857843 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations obvious and lacking in non-obvious inventive merit. The presented published technical disclosure demonstrates that the claimed technological combinations represent predictable applications of known sensor, software, and exercise tracking technologies, thereby rendering subsequent patent claims obvious and non-patentable under 35 U.S.C. Section 103.

Original Patent Information

Patent Number	US 11,857,843
Title	Dynamic motion force sensor module
Assignee(s)	Dynamic Accession, LLC