Intelligent Resistance Exercise System for Personalized Fitness and Healthcare

Publication ID: 24-11857837_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Resistance Exercise System for Personalized Fitness and Healthcare,” Published Technical Disclosure No. 24-11857837_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857837_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. 11,857,837.

Summary of the Inventive Concept

A next-generation, wearable instrumented resistance exercise system that leverages machine learning, cloud-based analytics, and real-time feedback to provide personalized fitness and healthcare solutions.

Background and Problem Solved

The original instrumented resistance exercise device, while innovative, has limitations in providing real-time feedback, personalized exercise plans, and remote monitoring capabilities. The new inventive concept addresses these limitations by integrating wearable technology, machine learning algorithms, and cloud-based analytics to revolutionize the field of physical therapy and fitness.

Detailed Description of the Inventive Concept

The intelligent resistance exercise system comprises a wearable instrumented resistance exercise device, a cloud-based server, and a mobile application. The wearable device is equipped with a force sensor, a microcontroller, and a short-range wireless communication module. The device measures muscle activity, force output, and exercise data, which is transmitted to the cloud-based server for analysis using machine learning algorithms. The server generates personalized exercise plans, predicts muscle fatigue, and monitors patient exercise adherence. The mobile application provides real-time feedback, exercise tracking, and notifications to users and healthcare professionals.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift in the field of resistance exercise devices by integrating wearable technology, machine learning, and cloud-based analytics to provide personalized fitness and healthcare solutions. The inventive step lies in the novel combination of these technologies to create a real-time, data-driven system that goes beyond the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include a desktop-based system, a virtual reality-based exercise platform, or an integration with existing fitness wearables. Variations could include using different machine learning algorithms, incorporating additional sensors, or developing specialized systems for specific medical conditions.

Potential Commercial Applications and Market

The intelligent resistance exercise system has vast commercial potential in the fitness, healthcare, and physical therapy industries. Target markets include fitness enthusiasts, athletes, physical therapy clinics, hospitals, and insurance companies. The system could be licensed to fitness equipment manufacturers, healthcare providers, or offered as a subscription-based service.

CPC Classifications

SectionClassGroup
A A63 A63B24/0062
A A63 A63B21/00043
A A63 A63B21/0552
A A63 A63B21/4035
A A63 A63B2220/17
A A63 A63B2220/51
A A63 A63B2220/62
A A63 A63B2220/833
A A63 A63B2225/50

Field of Art

Biomechanical engineering, fitness technology, and medical rehabilitation devices focused on exercise monitoring and data collection systems

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or exercise technology specialist with expertise in sensor integration, wireless communication, data analytics, and wearable device design, typically holding a master's degree with 3-5 years of industry experience

Obviousness Rationale

A person of ordinary skill would recognize that the PTD represents a predictable extension of the source patent's core technology by applying standard machine learning and cloud computing techniques to the existing instrumented resistance exercise device framework. The fundamental sensor and wireless communication architecture remains consistent, with the primary innovation being the data processing and personalization approach. These modifications represent a logical progression of the original patent's technical teachings using well-established technological approaches.

Obvious Combinations & Variations

Source Patent Element
Force sensor integrated into resistance exercise device for measuring exercise data
PTD Variation
Adding machine learning algorithms to analyze force sensor data for muscle fatigue prediction
Obviousness Reasoning
Applying machine learning to sensor data is a known technique in biomechanical monitoring, representing a predictable application of existing data processing technologies
Source Patent Element
Bluetooth Low Energy wireless communication module for data transmission
PTD Variation
Extending wireless communication to cloud-based server for remote exercise monitoring and analysis
Obviousness Reasoning
Cloud data transmission is a standard evolution of wireless communication technologies, representing an obvious design choice for expanding device functionality
Source Patent Element
Instrumented resistance exercise device with force measurement capabilities
PTD Variation
Implementing personalized exercise prescription through cloud-based analytics
Obviousness Reasoning
Transforming raw exercise data into personalized recommendations is a predictable application of existing data analysis techniques in fitness technology
Source Patent Element
Exercise data collection using integrated sensors
PTD Variation
Adding real-time patient adherence monitoring and healthcare professional notification systems
Obviousness Reasoning
Extending sensor data collection to compliance tracking represents a logical and foreseeable enhancement of the original device's monitoring capabilities
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857837 and the disclosed technical variations, a person of ordinary skill in the art would find the claimed innovations of the published technical disclosure to be obvious and lacking inventive step. The combination of known sensor technologies, wireless communication protocols, and machine learning techniques represents a predictable application of existing technological approaches in the field of instrumented exercise devices.

Original Patent Information

Patent NumberUS 11,857,837
TitleInstrumented resistance exercise device
Assignee(s)The Trustees of Dartmouth College