Rehabilitation System Using Depth Sensor for Adaptive Patient Tracking
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Solution Overview
Problem
Conventional post-stroke rehabilitation methods are limited by the availability and cost of human therapists and are often boring for patients, leading to reduced effectiveness and engagement.
Innovation Solution
A system utilizing a depth sensor and camera-based software that adapts the patient's workspace, provides personalized feedback, and integrates cognitive and visual load parameters to enhance engagement and tracking accuracy, allowing for effective rehabilitation and training through gamification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional rehabilitation exercises are used, then the rehabilitation process can be performed, but the exercises are boring and reduce patient engagement
Solution Approach 1:
The patent creates a virtual copy of the physical rehabilitation environment using depth sensor data. The system captures the patient's real-world movements and reproduces them in a virtual environment, allowing engaging gamified experiences while maintaining therapeutic value. This resolves the contradiction by providing entertaining virtual representations without requiring complex physical equipment modifications.
Solution Approach 2:
The patent replaces traditional mechanical therapy equipment with a software-based virtual reality system that uses depth sensors and computer vision. This substitution enables engaging interactive experiences while reducing the complexity of physical rehabilitation equipment, as the system uses software algorithms rather than complex mechanical devices.
2Adaptability or versatility
If human therapists are used to oversee rehabilitation, then personalized care can be provided, but therapists are limited and expensive
Solution Approach 1:
The patent enables the rehabilitation system to automatically adapt and personalize exercises based on patient performance data captured by depth sensors. The system self-adjusts exercise parameters, provides real-time feedback, and modifies difficulty levels without therapist intervention, providing personalized care at scale and resolving the contradiction between customization and availability.
Solution Approach 2:
The patent implements automated feedback mechanisms that analyze patient movements using depth sensor data and provide real-time corrections and encouragement. This automated feedback system personalizes the rehabilitation experience for each patient while eliminating the need for multiple therapists, thus improving productivity while maintaining adaptability.
3Adaptability or versatility
If workspace is fixed in traditional rehabilitation, then setup is simple, but it does not adapt to patient's reachable area
Solution Approach 1:
The patent transforms the static workspace into a dynamic one that automatically adjusts based on the patient's reachable area. The system continuously tracks patient movements using depth sensors and reconfigures the virtual workspace boundaries in real-time to match the patient's current capabilities, providing adaptation without manual configuration complexity.
Solution Approach 2:
The patent performs preliminary calibration by automatically detecting the patient's reachable area before beginning rehabilitation exercises. The system pre-configures the virtual workspace parameters based on this initial assessment, eliminating the need for complex manual setup while ensuring the workspace is perfectly adapted to the patient's abilities from the start.
Data Source
AI summary
Systems, methods and apparatuses for rehabilitation and/or training of a subject. Rehabilitation may be performed after neurological damage has occurred, including without limitation acute or chronic damage. Training as referred to herein relates to any process performed in order to improve the physical and/or cognitive function of a subject.