Thermal Imaging and Pressure Sensors for Limb Motion Rehabilitation
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Solution Overview
Problem
Conventional intelligent rehabilitation systems face limitations in accurately recognizing and analyzing limb motion with finer resolution, particularly due to the limitations of wearable inertial sensors, video cameras, and marker-based systems, which are either costly or computationally expensive, and often require specific illumination conditions and have limited field of view.
Innovation Solution
A system utilizing a thermal imaging device and pressure sensors to capture and analyze limb motion, providing quantitative measures such as motion cycle similarity scores and balance capabilities, and generating real-time feedback for rehabilitation, while being cost-effective and capable of operation in various environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If wearable inertial sensors are used to detect limb motion, then dynamic motion signals can be captured, but real human postures cannot be captured and displacement errors accumulate
Solution Approach 1:
The patent combines thermal imaging device and pressure sensors into an integrated rehabilitation system. The thermal imaging captures posture information while pressure sensors detect ground reaction forces, merging multiple sensing modalities to overcome the limitations of inertial sensors alone and achieve both dynamic motion capture and accurate posture detection.
2Measurement precision
If video cameras are used to capture images for posture recognition, then real human postures can be captured, but computation costs increase and field of view is limited
Solution Approach 1:
The thermal imaging device serves multiple functions: it captures posture information for motion analysis, provides illumination-independent imaging, and works in various environmental conditions. This multi-functionality reduces the need for separate specialized devices and lowers overall system complexity and computation requirements.
3Measurement precision
If marker-based sensing systems are used to detect human posture, then accurate posture detection is achieved, but deployment costs increase
Solution Approach 1:
The patent employs pressure sensors embedded in footwear instead of expensive marker-based systems. These pressure sensors provide accurate posture and gait information at a fraction of the cost of marker-based systems, making the rehabilitation system economically viable for widespread deployment while maintaining measurement precision.
4Measurement precision
If conventional sensing systems are used for rehabilitation, then limb motion can be detected, but finer resolution recognition and analysis are limited
Solution Approach 1:
The system provides real-time feedback by continuously analyzing pressure sensor data and thermal imaging data to monitor limb motion quality, provide corrective guidance, and track rehabilitation progress. This feedback mechanism enables finer resolution recognition and analysis of limb motion, improving rehabilitation efficiency and outcomes.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively recognizes and evaluates limb motion with high accuracy, providing real-time feedback for rehabilitation, reducing the need for medical personnel and lowering costs, thus making rehabilitation more accessible and efficient.
Implementation Method 1
a thermal imaging device for imaging a subject
Implementation Method 2
a plurality of sensors for sensing force or pressure exerted by a portion of the subject's body
Data Source
AI summary
Systems and methods for rehabilitation of limb motion are described herein. An example system can include a thermal imaging device for imaging a subject or a plurality of sensors for sensing force or pressure exerted by a portion of the subject's body. The system can also include a processor and a memory operably coupled to the processor. The processor can be configured to receive force or pressure data measured by the sensors or image data captured by the thermal imaging device, and calculate a quantitative measure of the subject's limb motion based on the force or pressure data or the image data.