XR Headset Antenna Impedance Sensing for Face and Hand Tracking
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Solution Overview
Problem
Existing techniques for tracking facial expressions and hand pose configurations in electronic device users are limited by accuracy and efficiency.
Innovation Solution
The use of an XR headset device with integrated antennas that utilize RF signals to discriminate facial deformations, hand pose configurations, and 3D positions of points on the user's head/face and hand, providing data for predicting facial and hand pose configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing techniques are used for tracking facial expressions and hand pose configurations, then the system is simpler to implement, but the accuracy and efficiency of tracking are limited
Solution Approach 1:
The patent replaces mechanical/optical tracking systems with an electromagnetic field-based sensing system. Antennas emit RF signals that interact with the user's face and hands, and impedance changes are measured to determine pose configurations. This substitution enables higher accuracy tracking while maintaining relatively simple device integration within the headset structure.
Solution Approach 2:
The antenna system serves multiple functions: it provides wireless communication for the XR headset and simultaneously acts as a sensing element for facial and hand pose tracking. By measuring impedance changes in the same antenna used for communication, the system achieves multi-functionality without adding separate dedicated sensing hardware, thus improving tracking accuracy while controlling complexity.
2Volume of moving object
If antennas are integrated within the headset structure, then the device compactness is improved, but the antenna performance may be affected by interference from user hands, face coverings, and environment
Solution Approach 1:
The patent converts the harmful interference from face coverings, hands, and environment into a useful sensing mechanism. The impedance changes caused by these interactions are not treated as noise to be eliminated but as the primary signal for detecting facial expressions and hand poses. This approach maintains antenna integration within the compact headset while transforming potential performance degradation into the basis for accurate pose tracking.
Solution Approach 2:
The system continuously monitors impedance changes in real-time and uses this feedback to determine facial and hand pose configurations. By processing the reflected signal information and comparing impedance variations against known patterns, the system can distinguish between intentional user expressions and environmental interference, thereby maintaining reliability despite the integrated antenna design.
3Measurement precision
If impedance characteristic sensing is used to discriminate facial deformations and hand pose configurations, then the measurement precision is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent uses the antenna system as an intermediary between the user's face/hands and the measurement system. Instead of directly measuring facial geometry or hand pose, the antenna emits RF signals that interact with the body, and the resulting impedance changes are measured. This intermediary approach transforms complex biological shape measurements into simpler electrical impedance measurements that can be accurately detected using standard antenna measurement techniques.
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 enhances the accuracy and efficiency of tracking facial and hand pose configurations, enabling improved content provision in extended reality environments and user identification.
Implementation Method 1
A user's head/facial/hand features such as, inter alia, a user's facial expression and/or hand pose may dielectrically and contactlessly interact with at least one of the one or more antennas such that changes to a facial configuration and/or hand pose configuration of the user may manifest within a self-resonance frequency and/or performance associated with at least one of the one or more antennas.
Implementation Method 2
the one or more processors are configured to interpret data from the one or more antennas when the device is worn on a head of a user. The data from the one or more antennas may include data associated with one or more impedance characteristics.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods that predict a face configuration or hand pose of a user. For example, a device may include a structure and one or more antennas positioned on a portion of the structure. The device is worn on a head of a user. An associated process may be enabled to interpret data from the one or more antennas to discriminate deformation of a tissue geometry of at least one body portion of a user when the device is worn on the head of the user. The data from the one or more antennas may be associated with one or more impedance characteristics.