Hand Tracking Correction Modes in XR
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Solution Overview
Problem
In extended reality (XR) environments, hand tracking accuracy is compromised due to the mismatch between the positions of the eyes, display, and camera, leading to impaired distance perception, disorientation, and poor hand-eye coordination.
Innovation Solution
The implementation of a method that determines the position of a hand gesture relative to virtual content and generates corrected hand tracking data when the gesture is within a threshold distance, switching to uncorrected data when outside the threshold, and utilizing temporally-differential depth smoothing for improved hand tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If corrected hand tracking data is used for all interactions, then hand tracking accuracy is improved, but resource consumption increases
Solution Approach 1:
The system dynamically changes the correction parameter (applying or not applying correction) based on the interaction type. For direct interactions with virtual content, correction is applied to maintain accuracy. For indirect interactions, correction is omitted to reduce computational resources. This parameter switching resolves the contradiction by adapting the level of correction to the specific interaction context.
2Use of energy by moving object
If uncorrected hand tracking data is used, then resource consumption is reduced, but hand tracking accuracy deteriorates
Solution Approach 1:
The system applies correction selectively to specific interaction types rather than uniformly to all interactions. Direct interactions (where the hand is close to or touching virtual content) receive correction to maintain accuracy, while indirect interactions (where the hand is farther away) use uncorrected data to conserve resources. This localized application of correction resolves the contradiction by matching the quality of processing to the specific interaction context.
3Ease of manufacture
If a fixed threshold distance is used for correction, then implementation simplicity is improved, but adaptability to different interaction types deteriorates
Solution Approach 1:
The system dynamically adjusts the correction threshold based on the detected interaction type. Rather than using a static threshold, the threshold becomes a dynamic parameter that changes according to whether the interaction is direct or indirect. This dynamic adaptation allows the system to maintain simplicity in implementation while achieving versatility across different interaction types.
Data Source
AI summary
In some implementations, a method includes: determining a location for virtual content; detecting a user interaction with the virtual content; in response to detecting the user interaction with the virtual content, determining a position of a hand gesture during the user interaction with the virtual content; in accordance with a determination that the position of the hand gesture is within a threshold distance relative to the location of the virtual content, generating corrected hand tracking data associated with the user interaction with the virtual content; and in accordance with a determination that the position of the hand gesture is outside of the threshold distance relative to the location of the virtual content, generating uncorrected hand tracking data associated with the user interaction with the virtual content.