Hand-Tracking Sensor Self-Calibration Across Overlapping Fields of View
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Solution Overview
Problem
Existing motion tracking systems struggle to calibrate multiple motion sensors to a common coordinate frame without requiring complex and inconvenient setup procedures, especially in applications like consumer or gaming environments where user flexibility is essential.
Innovation Solution
The technology involves designating a master frame of reference among multiple motion-capture sensors with overlapping fields of view, synchronizing image capture of a common subject like a hand passing through these fields, and using these synchronized images to automatically calibrate the sensors to the master frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sophisticated laser sighting equipment is used to align reference frames of imaging devices, then measurement precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system enables self-calibration by having motion sensors automatically determine their own locations and orientations relative to each other through image analysis, eliminating the need for external laser sighting equipment and sophisticated calibration tools
Solution Approach 2:
The patent replaces mechanical laser sighting equipment with an image-based computational approach, using cameras to capture images and software to automatically calculate geometric transformations and align coordinate systems
2Ease of operation
If automatic calibration through image analysis is implemented, then ease of operation is improved, but manufacturing precision requirements worsen
Solution Approach 1:
The system changes the approach from requiring precise physical placement to allowing flexible placement by using image analysis to determine relative positions, transforming the problem from a physical alignment task to a computational geometry task
Data Source
AI summary
The technology disclosed relates to coordinating motion-capture of a hand by a network of motion-capture sensors having overlapping fields of view. In particular, it relates to designating a first sensor among three or more motion-capture sensors as having a master frame of reference, observing motion of a hand as it passes through overlapping fields of view of the respective motion-capture sensors, synchronizing capture of images of the hand within the overlapping fields of view by pairs of the motion-capture devices, and using the pairs of the hand images captured by the synchronized motion-capture devices to automatically calibrate the motion-capture sensors to the master frame of reference frame.