Motion Sensor Zone Calibration for Avatar Body Tracking
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Solution Overview
Problem
Existing virtual reality systems struggle to accurately track and map complex human motions from the physical world into virtual environments due to differences in proportions and anatomical configurations between users and avatars, leading to calibration errors and reduced immersion.
Innovation Solution
A method and apparatus that utilize motion sensors attached to different body parts to determine zones and calculate offsets, allowing seamless mapping of physical motions into virtual worlds with high fidelity, enabling seamless avatar changes without additional calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If motion sensors are attached to body parts for tracking movement, then motion tracking capability is improved, but calibration accuracy deteriorates due to proportion differences between users and avatars
Solution Approach 1:
The system dynamically adjusts calibration parameters including offset values and scaling factors based on detected motion data patterns. The calibration process modifies transformation parameters to compensate for anatomical differences, allowing accurate avatar representation despite variations in user body proportions compared to standard avatar models
Solution Approach 2:
The system implements iterative calibration feedback loops where motion sensor data from the user is continuously compared against expected avatar motion patterns. Discrepancies generate correction signals that adjust calibration parameters, progressively improving alignment accuracy between physical motion and virtual avatar representation
2Measurement precision
If complex calibration is performed to account for anatomical differences, then calibration accuracy is improved, but system complexity increases
Solution Approach 1:
The calibration system is divided into modular components: motion sensor attachment module, zone determination module, offset calculation module, and transformation application module. Each component handles a specific aspect of the calibration process, making the overall complex system manageable and maintainable through functional segmentation
Solution Approach 2:
The system performs preliminary calibration measurements by having users assume specific poses or perform standardized motions before actual use. These preliminary actions establish baseline calibration parameters that are stored and applied automatically, eliminating the need for complex real-time calculations during normal operation
3Measurement precision
If multiple motion sensors are used for full body tracking, then tracking fidelity is improved, but device complexity increases
Solution Approach 1:
Each motion sensor is designed to be multi-functional, capable of tracking multiple body parts through strategic placement. A single sensor can serve multiple purposes by detecting motion at key anatomical points that define larger body segments, reducing the total number of sensors needed while maintaining high tracking fidelity
Solution Approach 2:
The system implements hierarchical motion tracking where motion data from individual sensors is nested within zone-level interpretations, which are then nested within overall avatar transformation operations. This nested processing structure efficiently manages data from multiple sensors by organizing it in hierarchical levels of abstraction
Data Source
AI summary
The present technology pertains to full body or partial body tracking in a multiuser extended reality (XR) application. A client device executing in the multiuser XR application may be configured to determine a plurality of zones associated with the wearer; map a first motion sensor from the at least one motion sensor to a corresponding zone, wherein the first motion sensor corresponds to a first zone; determine a first measured offset based on a distance from a position of the first motion sensor within the first zone to a fixed point within the first zone; receive first motion data of the wearer from the first motion sensor; map the first motion data to an avatar within a virtual world based on the first measured offset; and render the avatar within the virtual world based on the first motion data associated with the first zone.