VR Coordinate Alignment via Tapping Impact Detection
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Solution Overview
Problem
Virtual reality (VR) systems face a yaw drift error between the head-mounted display (HMD) and controller due to independent yaw motion, leading to spatial mismatches in yaw orientation, which reduces user experience and immersion in VR environments.
Innovation Solution
An apparatus that aligns the coordinate systems of interacting VR devices by using a calibration engine to determine the direction of impacts from tapping, measuring sensor signals from accelerometers in both devices, and rotating their coordinate systems to align them based on the angular difference between the impacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gravitational acceleration is used to correct pitch and roll angles, then pitch and roll accuracy is improved, but yaw drift error accumulates over time
Solution Approach 1:
The patent introduces a tapping-based impact detection mechanism as an intermediary to establish a reference direction for yaw alignment. When the user taps the HMD and controller, the accelerometers detect impact directions that serve as a common reference frame, allowing the system to calculate and correct yaw drift without relying solely on gravitational acceleration.
2Ease of operation
If independent yaw motion is allowed between HMD and controller, then device mobility is improved, but spatial mismatch in yaw orientation increases
Solution Approach 1:
The system continuously monitors yaw drift between the HMD and controller and provides feedback through the tapping calibration mechanism. When misalignment is detected, the system prompts the user to perform tapping gestures, which generate impact direction data used to recalculate and realign the coordinate systems, thereby correcting the spatial mismatch while preserving independent motion capability.
3Reliability
If coordinate systems are frequently realigned, then yaw drift error is reduced, but system complexity increases
Solution Approach 1:
The calibration system is designed to be self-correcting through intuitive tapping gestures. The accelerometers automatically detect impact directions, the processing circuitry computes the yaw drift, and the coordinate systems are realigned without requiring user intervention beyond the simple tapping action. This self-service approach minimizes the perceived complexity for the user while maintaining high alignment reliability.
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
Effectively corrects yaw drift errors between the HMD and controller, enhancing user experience and immersion by ensuring accurate alignment and synchronization of the VR environment.
Implementation Method 1
A first sensor signal representing a first impact on the first device responsive to tapping of the first device and a second device is received from a first accelerometer of the first device
Data Source
AI summary
An apparatus for aligning coordinate systems of interacting devices includes an interface circuit configured to receive a sensor signal from an accelerometer of a device. The sensor signal represents an impact on the device responsive to tapping of the device and a second device. A second interface circuit is configured to receive a second sensor signal from a second accelerometer of the second device. The second sensor signal represents an impact on the second device responsive to the tapping. A calibration engine is configured to determine a direction of the impact represented by the sensor signal and a direction of the second impact represented by the second sensor signal. The calibration engine is configured to align at least one of a coordinate system of the device or a second coordinate system of the second device based on the direction of the impact and the second impact.