Virtual Reaction Time Measurement for Sensory Motor Detection
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Solution Overview
Problem
Existing virtual reality systems for evaluating motor reaction tasks lack the ability to measure everyday sensory motor capabilities in a standardized manner, making early detection of motor limitations and stimulus processing difficulties impossible.
Innovation Solution
A computer-implemented method and apparatus that records and evaluates motor and kinematic measurement data during complex neurocognitive tasks, such as one-handed catching of a suddenly falling virtual object, using sensor systems to detect movement sequences and reaction times in a virtual environment, correlating virtual and real movements to determine reaction times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If virtual reality systems are used for evaluating motor reaction tasks, then the engagement and趣味性 of the test is improved, but the ability to measure everyday sensory motor capabilities in a standardized manner deteriorates
Solution Approach 1:
The patent creates a virtual copy of the classic ruler drop test in a VR environment. The virtual ruler and catching task replicate the essential elements of the traditional test while adding digital measurement capabilities. This allows the test to maintain the validity of the original task while enabling precise, standardized data collection through sensors and computer vision.
Solution Approach 2:
The patent replaces manual measurement methods with automated sensor systems and computer vision algorithms. Instead of relying on physical rulers and manual timing, the system uses accelerometers, gyroscopes, and optical tracking to automatically capture reaction time and movement parameters, ensuring standardized and precise measurements.
2Ease of operation
If game-like virtual reality systems are used, then user engagement is improved, but the ability to detect motor limitations and stimulus processing difficulties deteriorates
Solution Approach 1:
The system provides immediate visual and haptic feedback when the user successfully catches the virtual object, maintaining engagement. Simultaneously, it continuously monitors movement parameters such as reaction time, grip force, and movement trajectory, providing real-time data that reveals motor limitations and stimulus processing difficulties.
Solution Approach 2:
The patent dynamically adjusts the test parameters based on user performance. The virtual object can be presented at different positions, orientations, and speeds, allowing the system to adapt to the user's capabilities while maintaining challenge and engagement. This dynamic adjustment enables detection of subtle motor deficits that might be missed in static tests.
3Measurement precision
If standardized measurement of sensory motor performance is implemented, then early detection of motor limitations is improved, but the complexity of the measurement system deteriorates
Solution Approach 1:
The patent uses a multi-functional sensor system that simultaneously performs multiple measurement tasks. The same sensors (accelerometers, gyroscopes, cameras) are used to track the virtual object, monitor user movement, measure grip force, and calculate reaction time. This universal approach reduces the need for separate specialized devices while maintaining comprehensive measurement capabilities.
Solution Approach 2:
The system automatically processes raw sensor data to extract meaningful metrics without requiring manual intervention. Computer vision algorithms automatically detect hand position and grip formation, while embedded software calculates reaction time and movement parameters from sensor readings. This self-service capability reduces the complexity of data processing and analysis for the user.
Data Source
AI summary
The invention relates to a computer-implemented method for determining reaction time processes, more particularly detection of sensory motor skills and stimuli processing in the reaction to one or various stimuli, of at least one user by means of at least one sensor system or sensor array. The movement of a hand of the user is detected by the sensors of a device shortly before, during and after catching the virtual object. The reaction times of the user are detected by sensors while virtual surroundings are shown to the real user.


