Immersive Upper Limb Rehabilitation System Using Visual Recognition
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Solution Overview
Problem
Current upper limb rehabilitation processes are subjective, lack engagement, and often result in inconsistent patient evaluation and low enthusiasm due to boredom, leading to suboptimal rehabilitation outcomes for patients with hemiplegia.
Innovation Solution
An immersive upper limb rehabilitation training system incorporating a dual-arm rehabilitation robot, VR headset, force-feedback glove, visual sensor, and data-tracking system to provide a safe, scientific, and engaging rehabilitation experience with real-time feedback and personalized adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If rehabilitation training is based on therapist experience and manual evaluation, then the training process is simple and easy to operate, but the evaluation accuracy is low and consistency is poor
Solution Approach 1:
The patent replaces manual therapist evaluation with an automated visual recognition system using cameras and deep learning algorithms. The system captures patient motion data through visual sensors and automatically evaluates rehabilitation performance, eliminating subjective human judgment and achieving consistent, accurate measurements without requiring complex manual assessment protocols
Solution Approach 2:
The patent introduces a deep learning-based visual recognition system as an intermediary between the patient's physical motion and the evaluation process. This intermediary automatically processes raw visual data, extracts meaningful motion features, and generates objective evaluation metrics, bridging the gap between simple motion capture and accurate clinical assessment
2Ease of operation
If traditional rehabilitation training is used, then the equipment is simple, but the patient becomes bored and enthusiasm is low
Solution Approach 1:
The patent introduces VR technology as an intermediary that creates an immersive virtual environment for patients. This intermediary transforms单调 repetition的康复训练 into engaging interactive experiences, allowing patients to perform rehabilitation exercises within virtual scenarios that maintain their interest and motivation throughout the training process
Solution Approach 2:
The patent replaces traditional monotone rehabilitation exercises with VR-based immersive training scenarios. By substituting boring repetitive motions with engaging virtual experiences, the system maintains patient enthusiasm and compliance while achieving the same or better rehabilitation outcomes
3Ease of operation
If immersive VR training system is implemented, then patient engagement is improved, but the device complexity increases
Solution Approach 1:
The patent merges multiple subsystems (visual recognition, VR display, force feedback, robot control) into an integrated rehabilitation training system. By combining these components into a unified platform, the system achieves high patient engagement through immersive VR and accurate visual evaluation while managing overall system complexity through coordinated integration rather than separate independent systems
Data Source
AI summary
An immersive upper limb rehabilitation training system includes a dual-arm rehabilitation robot, a base, a position tracker, a VR headset, a force-feedback glove, a host computer control center and passive compliant end-effectors. The dual-arm rehabilitation robot is mounted on the base, and drives an arm of a patient to move through two passive compliant end effectors. The visual sensor is used for recording a motion of an upper limb of the patient and feedback-controlling a motion of the dual-arm rehabilitation robot. The position tracker is used for real-time collecting position and posture information of the arm and transmitting it to the upper computer control center. The two passive compliant end-effectors are respectively worn on a forearm and an upper arm of the patient. The upper computer control center is used to provide a quantitative index and control a display of a training screen.