Published Technical Disclosure Archive

Adaptive Dynamic Motion Force Sensor Module

Publication ID: 24-11857843_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Dynamic Motion Force Sensor Module,” Published Technical Disclosure No. 24-11857843_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857843_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. 11,857,843.

Summary of the Inventive Concept

A next-generation dynamic force module that leverages machine learning, artificial intelligence, and wearable devices to provide real-time, personalized, and adaptive force tracking and motor control during physical activity.

Background and Problem Solved

The original Dynamic Motion Force Sensor Module, while innovative, has limitations in terms of real-time adaptability and personalized force tracking. The new inventive concept addresses these limitations by integrating machine learning algorithms, wearable devices, and cloud-based platforms to provide a more advanced and user-centric experience.

Detailed Description of the Inventive Concept

The Adaptive Dynamic Motion Force Sensor Module consists of a wearable device with integrated torque sensors and machine learning algorithms that predict and adapt to user performance in real-time. The module is connected to a cloud-based platform that stores and analyzes user data to optimize exercise routines. Additionally, the module features a self-learning algorithm that adjusts force output based on user performance and feedback, and a real-time analytics platform for tracking user progress and providing personalized coaching. The module can be integrated into various applications, including virtual reality-based physical activity systems and smart gym equipment systems.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift in dynamic force tracking and motor control by integrating machine learning, artificial intelligence, and wearable devices. The inventive step lies in the real-time adaptability and personalized force tracking capabilities, which are not present in the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the Adaptive Dynamic Motion Force Sensor Module could include variations in sensor types, machine learning algorithms, and cloud-based platform architectures. Additionally, the module could be integrated into other applications, such as sports equipment, medical rehabilitation devices, or industrial machinery.

Potential Commercial Applications and Market

The Adaptive Dynamic Motion Force Sensor Module has significant commercial potential in the fitness, sports, and healthcare industries, with potential applications in personalized fitness training, injury prevention, and rehabilitation. The module could also be integrated into industrial machinery and equipment, enabling real-time monitoring and optimization of mechanical forces.

CPC Classifications

SectionClassGroup
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

Field of Art

Biomechanical sensing systems, exercise technology, and motion tracking devices with a focus on force measurement and adaptive performance monitoring

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in sensor design, machine learning, biomechanical instrumentation, and wearable technology, possessing knowledge of sensor integration, data analytics, and adaptive control systems

Obviousness Rationale

A person of ordinary skill would recognize that integrating machine learning and cloud-based analytics into the existing dynamic force sensing technology represents a predictable technological evolution. The source patent's core technology of torque measurement and force tracking provides a clear foundation for extending the system's capabilities through intelligent data processing and adaptive feedback mechanisms. The proposed variations represent incremental improvements using standard engineering techniques and readily available technological components.

Obvious Combinations & Variations

Source Patent Element
Torque measurement system with load cells for tracking rotational force data
PTD Variation
Adding machine learning algorithms to interpret and adapt force measurements in real-time
Obviousness Reasoning
Applying machine learning to sensor data is a known technique for enhancing performance tracking, representing a predictable application of existing computational methods to established sensor technologies
Source Patent Element
Electromechanical motor with force tracking capabilities
PTD Variation
Integrating cloud-based platform for storing and analyzing user performance data
Obviousness Reasoning
Remote data storage and analysis platforms are standard practice in modern sensor systems, providing a logical extension of existing force measurement technologies
Source Patent Element
Dynamic force module for physical activity tracking
PTD Variation
Implementing wearable device integration with self-learning algorithms for personalized force profiling
Obviousness Reasoning
Personalization of exercise equipment through adaptive algorithms is a well-established design approach in fitness and biomechanical tracking technologies
Source Patent Element
Torque sensor module for measuring physical activity forces
PTD Variation
Expanding system to include virtual reality and smart gym equipment integration
Obviousness Reasoning
Cross-platform sensor integration is a predictable technological progression, utilizing standard communication and data transfer protocols
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 proposed adaptive dynamic motion force sensor module with machine learning and cloud-based analytics to be an obvious extension of existing force measurement technologies. The incremental improvements represent predictable combinations of known techniques in sensor design, data processing, and performance tracking, thereby rendering potential patent claims obvious and unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,843
TitleDynamic motion force sensor module
Assignee(s)Dynamic Accession, LLC