AI Care Plan Feedback Loop for At-Home Physical Therapy
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Solution Overview
Problem
Individuals seeking physical therapy or fitness exercises face challenges in accessing convenient and effective options, as traditional facilities are inconvenient and at-home sessions lack proper monitoring and guidance.
Innovation Solution
A fitness tracking computing system utilizing AI recommendation engines to create customized care plans, incorporating machine vision for movement tracking, and leveraging user devices with onboard cameras to monitor and adjust exercises in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individuals travel to rehabilitation centers for physical therapy, then they receive professional treatment and monitoring, but it is inconvenient and requires travel time
Solution Approach 1:
The system creates a virtual copy of the rehabilitation center experience by using machine vision and AI to deliver professional-grade physical therapy monitoring and guidance directly to the user's home environment, eliminating the need for physical travel while maintaining treatment quality
Solution Approach 2:
The system introduces an intermediary AI recommendation engine and machine vision system that acts as a bridge between the user and professional physical therapy, providing remote monitoring and real-time feedback without requiring direct in-person contact
2Ease of operation
If physical therapists travel to individuals' homes for at-home sessions, then convenience is improved, but the system becomes complex and costly to implement
Solution Approach 1:
The system enables users to independently perform their physical therapy exercises at home with the guidance of an AI recommendation engine that automatically generates personalized care plans and provides real-time feedback through machine vision, eliminating the need for therapists to travel while maintaining professional oversight
Solution Approach 2:
The system replaces the mechanical system of physical therapist travel with an automated digital system comprising AI recommendation engines, machine vision cameras, and real-time feedback mechanisms that deliver therapy services remotely without human intervention for monitoring
3Ease of operation
If individuals structure their own exercise regimen without professional guidance, then independence is improved, but proper technique and form cannot be monitored
Solution Approach 1:
The system implements continuous feedback loops where machine vision cameras capture user movements, AI algorithms analyze technique and form against established standards, and real-time feedback is provided to guide users toward proper execution while maintaining independent exercise programming
Data Source
AI summary
The present disclosure provides systems and methods for generating personalized physical therapy and exercise guidance using artificial intelligence. An AI recommendation engine analyzes user-specific physical condition parameters including range of motion measurements, strength assessments, and functional mobility scores against normative data to identify physical limitations. Based on this analysis, the AI engine generates customized care plans with exercises featuring specific movement parameters and tolerance thresholds tailored to address the identified limitations. The system leverages standard computing device cameras to capture movement data during exercise performance, providing real-time feedback through visual movement guides. This movement data, comprising time-sequenced joint position coordinates, serves as quantitative feedback to continuously improve the AI recommendation engine's effectiveness. The system creates a closed feedback loop where exercise compliance and movement quality measurements are used to refine future care plans, enabling increasingly personalized rehabilitation and fitness experiences without requiring specialized equipment.