Vehicle Motion Synchronization for Immersive Virtual Reality
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Solution Overview
Problem
Existing motion control technologies for applications in moving vehicles fail to effectively mitigate motion sickness and dissonance between real-world and virtual events, as they primarily rely on translating deliberate user movements into in-game inputs, neglecting involuntary movements and real-world events.
Innovation Solution
A system that detects impending changes in a user's center of mass motion using inertial sensors and contextual information, synchronizing these with virtual events to create a more immersive experience by dynamically associating motion in virtual events with physical events, thereby enhancing user interaction with virtual environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If motion control is used to translate deliberate user movements into in-game inputs, then user interaction with virtual environments is enabled, but motion sickness and dissonance between real-world and virtual events occur
Solution Approach 1:
The system performs preliminary action by detecting impending physical events (such as upcoming turns, stops, or obstacles) before they occur and pre-synchronizing virtual events to match these detected physical events. This advance preparation allows the virtual environment to anticipate and align with real-world movements, creating a seamless experience that prevents motion sickness while maintaining intuitive user interaction.
2Measurement precision
If motion control translates only deliberate movements, then control precision is maintained, but involuntary movements and real-world events are neglected causing dissonance
Solution Approach 1:
The system applies universality by implementing a comprehensive motion detection mechanism that simultaneously handles both deliberate user movements and involuntary physical events through a single integrated framework. The inertial sensors and machine learning model work together to detect and synchronize all types of movements, making the system adaptable to various movement types while maintaining control precision through consistent processing methods.
Solution Approach 2:
The system uses feedback by continuously monitoring inertial sensor data and comparing it with detected physical events and virtual events. The machine learning model analyzes this feedback loop to refine synchronization timing and ensure that virtual events accurately match real-world events, thereby maintaining both control precision and event synchronization adaptability.
3Productivity
If virtual events are synchronized with real-world events, then user engagement is enhanced, but system complexity increases
Solution Approach 1:
The system applies self-service by implementing autonomous event synchronization where the machine learning model automatically detects physical events, determines appropriate virtual events, and synchronizes them without requiring manual configuration or complex system intervention. This self-managing approach enhances user engagement through seamless synchronization while minimizing the operational complexity that users would otherwise need to manage.
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 approach effectively reduces motion sickness and enhances user engagement by seamlessly integrating real-world movements into virtual experiences, making physical events more enjoyable and immersive by synchronizing them with virtual events in real-time.
Implementation Method 1
detecting an impending change in center of mass motion of the user by analyzing motion information from a detecting device
Data Source
AI summary
A method, system and computer program tie physical events to virtual events by analyzing motion information from a computing device of a vehicle or analyzing contextual information from a computing device of a vehicle. Initiation of a virtual event with a display device is timed in response to detecting an impending change in center of mass motion of the user from analyzing the motion information or contextual information. A motion in the virtual event is dynamically associated with subsequent motion information.