Physical Activity Model Using Motion Capture for Therapy Monitoring
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Solution Overview
Problem
Conventional physical therapy methods require on-site personnel for monitoring and feedback, which is time-consuming, expensive, and not accessible to all, leading to inconsistent and potentially inferior outcomes due to lack of proper form and increased risk of re-injury.
Innovation Solution
A system and method for generating a physical activity model using motion capture data to automate monitoring and feedback, determining key states and inter-state differentiation variables, and providing classifiers for real-time assessment and guidance without the need for on-site professionals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If on-site personnel are used for monitoring and feedback, then the quality and consistency of physical therapy are improved, but the cost and time consumption increase significantly
Solution Approach 1:
The system enables self-service by providing automated monitoring and feedback through motion capture technology. The physical therapy system automatically tracks patient movements, compares them against prescribed exercise protocols, and provides real-time feedback without requiring continuous presence of therapists, thereby maintaining quality while reducing time consumption.
Solution Approach 2:
The patent replaces the mechanical system of human therapists manually monitoring and providing feedback with an automated electronic system. Motion capture devices, processors, and software algorithms substitute for human observation and instruction, eliminating the need for continuous on-site personnel while maintaining monitoring quality.
2Reliability
If on-site personnel are used for monitoring and feedback, then the quality and consistency of physical therapy are improved, but the cost increases significantly
Solution Approach 1:
The system enables self-service by providing automated monitoring and feedback through motion capture technology. The physical therapy system automatically tracks patient movements, compares them against prescribed exercise protocols, and provides real-time feedback without requiring continuous presence of therapists, thereby maintaining quality while reducing time consumption.
Solution Approach 2:
The patent replaces the mechanical system of human therapists manually monitoring and providing feedback with an automated electronic system. Motion capture devices, processors, and software algorithms substitute for human observation and instruction, eliminating the need for continuous on-site personnel while maintaining monitoring quality.
3Reliability
If on-site personnel are used for monitoring and feedback, then proper form and compliance are ensured, but accessibility is reduced for those with limited mobility
Solution Approach 1:
The system enables self-service by providing automated monitoring and feedback through motion capture technology. The physical therapy system automatically tracks patient movements, compares them against prescribed exercise protocols, and provides real-time feedback without requiring continuous presence of therapists, thereby maintaining quality while reducing time consumption.
Solution Approach 2:
The system achieves universality by being accessible to diverse populations including those with limited mobility. The automated nature of the system allows it to serve patients in various locations and conditions, whether at home, in clinics, or with limited mobility, making the service universally accessible while maintaining compliance monitoring.
4Ease of operation
If automated monitoring systems are implemented, then accessibility and cost-effectiveness are improved, but the complexity of the system increases
Solution Approach 1:
The system applies segmentation by dividing the monitoring function into distinct modular components: motion capture devices for data collection, processors for analysis, and feedback mechanisms for output. This modular architecture manages complexity by allowing each component to be independently developed, tested, and maintained while working together to provide comprehensive automated monitoring.
Data Source
AI summary
Certain aspects provide a method of generating a physical activity model, including: receiving, via a motion capture device, motion data corresponding to a plurality of key states associated with a physical activity sequence; for each respective key state in the plurality of key states: determining a plurality of joint positions associated with the respective key state; determining a plurality of body segment positions associated with the respective key state based on the plurality of joint positions; determining a plurality of inter-state differentiation variables for the respective key state; determining one or more state characteristic metrics for the respective key state; and determining a classifier for the respective key state based on the one or more state characteristic metrics; and defining a physical activity model based on the one or more state characteristic metrics and the classifier associated with each key state.