3D Sensor Exercise Feedback System for Personalized Rehabilitation
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Solution Overview
Problem
Current physical therapy methods lack an effective way to monitor and provide real-time feedback on exercises performed by patients outside of therapy sessions, often relying on generic standards that do not account for individual patient needs, leading to potential inefficiencies and increased healthcare costs.
Innovation Solution
A system utilizing a 3D camera sensor, such as the Microsoft Kinect, to capture and compare an individual's exercise movements to their own tailored exercise protocol, providing immediate feedback and allowing for personalized exercise creation and tracking, with options for remote access and cloud storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical therapists manually monitor and provide feedback on patient exercises during therapy sessions, then exercise quality can be assessed and corrected in real-time, but the therapist cannot effectively monitor exercises performed by patients outside of therapy sessions
Solution Approach 1:
The system enables patients to independently perform exercises with automated monitoring and feedback. The sensor array captures movement data, the processor analyzes compliance with prescribed exercise protocols, and the system provides real-time feedback without requiring continuous therapist presence. This self-service capability resolves the contradiction by maintaining monitoring reliability while eliminating the time constraint of scheduled therapy sessions.
Solution Approach 2:
The system implements automated feedback mechanisms where the processor continuously compares patient movement data against prescribed exercise parameters and provides immediate corrections or confirmations. This feedback loop replaces the need for continuous therapist supervision, maintaining exercise quality monitoring reliability while enabling unsupervised home exercise programs that eliminate idle time between sessions.
2Ease of operation
If generic exercise standards are used for all patients, then instruction delivery is simplified, but individual patient needs and specific injury requirements are not addressed
Solution Approach 1:
The system prescribes exercise parameters tailored to each patient's specific injury, physical condition, and rehabilitation stage. The processor analyzes individual patient data and adjusts exercise protocols, resistance levels, and movement ranges to match local requirements. This resolves the contradiction by maintaining simple automated delivery while achieving high individualization through customized exercise prescriptions for each patient's specific needs.
Solution Approach 2:
The exercise protocols are dynamically adjusted based on real-time sensor data and patient progress. The system modifies exercise parameters adaptively as patients improve, transitioning from generic standardized routines to dynamically personalized programs. This dynamic adaptation resolves the contradiction by keeping the delivery mechanism simple while achieving versatility through automated customization based on individual patient responses and progress.
3Measurement precision
If multiple sensors and processing systems are deployed to capture and analyze exercise movements, then accurate real-time feedback is provided, but system complexity increases
Solution Approach 1:
The sensor array is designed to perform multiple functions: capturing spatial position, tracking movement trajectories, measuring joint angles, and detecting exercise compliance all through a single integrated system. The processor handles diverse analysis tasks including real-time feedback generation, progress tracking, and protocol adjustment. This multi-functionality resolves the contradiction by achieving high measurement precision through a unified system rather than multiple separate complex devices.
Solution Approach 2:
The system merges the sensor array, processing unit, feedback interface, and exercise protocol management into an integrated platform. By combining these components into a cohesive system, the patent reduces overall complexity while maintaining high measurement accuracy. The integrated architecture allows precise movement analysis through coordinated sensor processing while eliminating the need for multiple separate systems, thus resolving the contradiction between precision and complexity.
4Adaptability or versatility
If physical therapists conduct frequent in-person assessments and prescribe customized exercise regimens, then individualized treatment is achieved, but healthcare costs and time investment increase
Solution Approach 1:
The system replaces the mechanical system of frequent in-person therapist assessments with an automated electronic monitoring and feedback system. The sensor array and processor continuously evaluate exercise performance and provide real-time guidance, substituting human therapist time with automated technology. This resolves the contradiction by maintaining customized exercise prescription through automated adaptation while dramatically reducing healthcare resource consumption and time investment required for frequent in-person visits.
Data Source
AI summary
A process is disclosed to visually capture a person doing a set of steps for an exercise, and then to compare that person during exercise to those steps, measuring the results. Each exercise is tailored to the individual patient, rather than to an “ideal” or “generic” standard. This flexibility allows a physical therapist to optimize treatment for patients progressively, and/or to accommodate multiple physical problems in one patient. This invention can be used as a medical software product under the guidance of a physical therapist for rehabilitation exercises. It may alternatively be used as a fitness or sports training device under the guidance of a trainer or coach. By providing visual data and tracking results, it enhances communication between the physical therapist and the patient (or trainer and athlete), and optionally, the physician.


