Adaptable Virtual Environments for Physical Rehabilitation
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Solution Overview
Problem
Existing VR systems lack the ability to adapt virtual environments to users' physical limitations, leading to discouragement and potential harm for patients with limited motor function or mobility, as they cannot fully interact with the virtual environment, thereby hindering the effectiveness of virtual therapy.
Innovation Solution
A system that includes sensors to detect physical limb movements and a controller to adapt the virtual environment, allowing virtual tasks to be performed within the user's capabilities by modifying the virtual environment based on detected limitations, ensuring tasks can be completed safely and encouraging continued therapy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the virtual environment requires standard interaction ranges and target areas, then the VR system maintains consistent task design, but patients with limited motor function cannot complete tasks leading to discouragement and potential harm
Solution Approach 1:
The system dynamically adjusts interaction ranges and target areas based on real-time detection of user motor capabilities. Sensors continuously monitor patient movements and the controller modifies virtual environment parameters accordingly, transforming a static VR system into one that adapts its difficulty and accessibility to match each patient's physical limitations and progress.
Solution Approach 2:
The system changes key parameters of the virtual environment including interaction ranges, target areas, and task thresholds based on detected user capabilities. By modifying these parameters rather than the fundamental task structure, the system maintains therapeutic effectiveness while accommodating varying motor functions across different patients and progression stages.
2Reliability
If the virtual environment is designed for full range of motion, then standard VR tasks can be performed, but patients with limited mobility experience discouragement and potential harm
Solution Approach 1:
The system employs continuous feedback loops where sensors detect patient movement capabilities and the controller adjusts virtual environment parameters in real-time. This feedback mechanism ensures that task requirements always match the patient's current physical capabilities, preventing situations where patients are asked to perform movements beyond their safe range while maintaining therapeutic challenge.
Solution Approach 2:
The system performs preliminary detection of user capabilities before task execution begins. By assessing motor function limits in advance and pre-adjusting interaction ranges and target areas accordingly, the system prevents harmful situations before they occur rather than reacting after problems arise.
3Productivity
If repetitive physical therapy exercises are required, then therapeutic benefits are achieved, but patients become discouraged and stop persisting
Solution Approach 1:
The system transforms static, repetitive therapy exercises into dynamic virtual experiences where the same physical movements produce varying virtual outcomes. Patients perform repetitive motor exercises to rebuild muscle memory while the virtual environment presents different scenarios, objects, and goals, maintaining engagement and motivation throughout the therapeutic process.
Data Source
AI summary
The present disclosure relates to methods and systems for providing virtual environments that are responsively adaptable to users' characteristics. Embodiments provide for identifying a virtual action to be performed by a virtual representation of a patient within a virtual environment. The virtual action corresponds to a physical action by a physical limb of the patient in the real-world. In embodiments, the virtual action is required to be performed to a first target area within the virtual environment. Embodiments determine that the patient has at least one limitation that limits the patient performing the physical action. A determination of whether the patient has performed the physical action to at least a physical threshold associated is made. The virtual environment is caused to adapt in order to allow the virtual action to be performed in response to the determination that the patient has performed the physical action to the physical threshold.