Enhanced Rehabilitation and Training Systems with Advanced Sensor Integration

Publication ID: 24-11857335_0001_PTD
Published: October 28, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Rehabilitation and Training Systems with Advanced Sensor Integration,” Published Technical Disclosure No. 24-11857335_0001_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857335_0001_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. 11,857,335.

Summary of the Inventive Concept

The present invention discloses an advanced system for rehabilitation and training that integrates high-resolution video and high-precision distance data from a camera and depth sensor, respectively, to provide a more accurate and personalized experience for users.

Background and Problem Solved

The original patent for rehabilitation and training systems has limitations in terms of sensor accuracy and user calibration. The present invention addresses these limitations by introducing a more advanced sensor integration and calibration method, enabling more effective rehabilitation and training outcomes.

Detailed Description of the Inventive Concept

The enhanced system comprises a camera and depth sensor that work in tandem to provide a comprehensive three-dimensional map of a user's movements and gestures. The system's modular design allows for interchangeable sensor modules, each adapted for a specific type of rehabilitation or training. The central processing unit integrates data from multiple sensor modules, providing real-time feedback to the user and adapting to their progress and abilities through machine learning algorithms. The system can be calibrated to a user's specific physical abilities and limitations, ensuring a more personalized experience.

Novelty and Inventive Step

The new claims introduce the innovative combination of high-resolution video and high-precision distance data, as well as the modular design and real-time feedback features, which are not present in the original patent. These advancements provide a significant improvement in the accuracy and effectiveness of rehabilitation and training systems.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of additional sensors, such as inertial measurement units or electromyography sensors, to further enhance the system's accuracy and capabilities. Variations of the system could be designed for specific rehabilitation or training applications, such as physical therapy, athletic training, or occupational therapy.

Potential Commercial Applications and Market

The enhanced rehabilitation and training system has significant commercial potential in the healthcare and fitness industries, with applications in physical therapy, athletic training, and occupational therapy. The system's advanced sensor integration and personalized feedback features make it an attractive solution for individuals and organizations seeking to improve rehabilitation and training outcomes.

Field of Art

Rehabilitation and training technology, specifically systems involving depth sensing, motion tracking, and computational analysis of human movement for therapeutic or training purposes. Requires expertise in computer vision, sensor integration, machine learning, and biomechanical assessment technologies.

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in biomedical engineering, computer science, or related fields, possessing knowledge of sensor technologies, motion tracking algorithms, and rehabilitation system design. Familiar with depth sensing, video analysis, and adaptive computational systems.

Obviousness Rationale

A PHOSITA would recognize that integrating high-resolution video with depth sensor data represents a predictable enhancement to existing rehabilitation tracking systems. The modular sensor design and machine learning adaptation are logical extensions of known rehabilitation technology principles. The proposed variations represent incremental improvements using standard engineering techniques available to practitioners in the field.

Obvious Combinations & Variations

Source Patent Element
Depth sensor for determining three-dimensional location of body in space
PTD Variation
Adding high-resolution camera to supplement depth sensor data with visual tracking
Obviousness Reasoning
Combining complementary sensing technologies is a known technique for improving motion tracking accuracy. A PHOSITA would recognize that video data provides additional contextual information beyond depth measurements.
Source Patent Element
Computational device with body model tracking
PTD Variation
Implementing machine learning algorithms to adapt feedback based on user performance
Obviousness Reasoning
Adaptive computational systems are a predictable evolution in rehabilitation technologies. Using machine learning to personalize training protocols represents an obvious application of standard AI techniques.
Source Patent Element
System for rehabilitation adapted for mobile or seated subjects
PTD Variation
Introducing modular sensor design with interchangeable modules for specific rehabilitation contexts
Obviousness Reasoning
Modular system design is a standard engineering approach for creating flexible rehabilitation technologies. A PHOSITA would find it obvious to create adaptable sensor configurations for different therapeutic needs.
Source Patent Element
Basic depth sensing and body tracking system
PTD Variation
Real-time feedback system with personalized exercise routine generation
Obviousness Reasoning
Generating personalized exercise protocols is a predictable application of motion tracking and performance analysis technologies. The combination represents an obvious extension of existing rehabilitation system capabilities.
35 U.S.C. § 103 Summary: Based on US Patent 11857335, the present publication demonstrates that the claimed variations in rehabilitation and training systems would have been obvious to a person having ordinary skill in the art at the time of invention. The disclosed technical improvements represent predictable combinations of known sensing, computational, and adaptive technologies within the field of rehabilitation system design.

Original Patent Information

Patent NumberUS 11,857,335
TitleSystems, methods, and apparatuses for rehabilitation and training
Assignee(s)MINDMAZE GROUP SA