Automatic Vision Correction in Virtual Reality Headsets
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current virtual reality technologies lack an automatic method for vision correction, leading to user dissatisfaction due to visual position issues during transitions between real and virtual environments, requiring tedious menu operations or device restarts.
Innovation Solution
A method for automatic vision correction in virtual reality environments, using sensors and interfaces to monitor user states and scene changes, providing initial visual positions and allowing manual adjustments through joystick, hand gestures, voice recognition, or eye tracking to ensure optimal user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic vision correction is implemented using sensors and real-time monitoring, then user experience is improved and operations are reduced, but device complexity increases
Solution Approach 1:
The system automatically detects user entry into the virtual reality environment using sensors and autonomously provides initial visual position without requiring manual user operations. The system monitors user state and scene changes, automatically adjusting visual position when the user is in a stable state, thereby eliminating the need for tedious menu operations or device restarts.
Solution Approach 2:
The system continuously monitors user state through sensors (distance/light sensors, gyroscopes, accelerometers) and provides real-time feedback by detecting when the user enters or exits the virtual reality environment, when the user is in a stable or unstable state, and when scene discontinuous switching occurs. This feedback loop enables automatic vision correction by adjusting visual position based on monitored conditions.
2Adaptability or versatility
If manual vision correction interface is provided with multiple input methods, then adaptability is improved, but device complexity increases
Solution Approach 1:
The manual vision correction interface supports multiple input methods including joystick, hand gesture recognition, voice recognition, and eye tracking. Each input method can independently control visual position adjustment, allowing users to choose their preferred interaction mode. This multi-functional interface design enhances adaptability to different user preferences and accessibility needs.
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
This method enhances user experience by providing automatic and manual vision correction options, reducing user operations and addressing visual position instability, thereby improving the overall virtual reality experience.
Implementation Method 1
providing a distance/light sensor on a virtual reality head-mounted device or utilizing a distance/light sensor already provided on a virtual reality head-mounted device, to monitor in real time a distance between the virtual reality head-mounted device and the head of the user
Implementation Method 2
providing a geomagnetic sensor, a gyroscope and an accelerometer on a virtual reality head-mounted device or utilizing a geomagnetic sensor, a gyroscope and an accelerometer already provided on a virtual reality head-mounted device, to monitor in real time the action of the head of the user
Implementation Method 3
providing a geomagnetic sensor, a gyroscope and an accelerometer on a virtual reality head-mounted device or utilizing a geomagnetic sensor, a gyroscope and an accelerometer already provided on a virtual reality head-mounted device, to monitor in real time the action of the head of the user
Data Source
AI summary
A method of vision correction in a virtual reality environment, comprising: judging if a user is for the first time entering the virtual reality environment, if yes, providing the user with an initial visual position; monitoring in real time action of the user, and judging if the user is in a stable state in the virtual reality environment; if the user is in a stable state, adjusting the visual position of the user according to change of sight lines of the user; and if the user is in an unstable state, renewedly providing the user with an initial visual position; and monitoring in real time change of a scene in the virtual reality environment, and if the scene is taking discontinuous switching, renewedly providing the user with an initial visual position according to a new scene. The present disclosure performs automatic vision correction according to the usage scenes and the cognition custom of the user, which reduces user operation and improves the user experience.
