Capacitive Finger Tracking Controller for VR
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current VR systems face challenges in accurately tracking and displaying the position of users' fingers during VR sessions, which hinders immersive experiences and user interaction.
Innovation Solution
A hand-held controller with an array of proximity sensors embedded in flexible printed circuits, capable of detecting finger joint angles and rendering a deformed hand mesh for improved finger tracking and gesture detection, enhancing VR system interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional VR tracking systems are used, then system simplicity is maintained, but finger position tracking precision is insufficient
Solution Approach 1:
The patent replaces complex mechanical tracking systems with capacitive sensing technology. Capacitive sensors embedded in the controller detect changes in electrical capacitance caused by finger proximity and contact, enabling precise finger position and gesture detection without mechanical components. This substitution achieves high measurement precision while maintaining relatively simple device architecture.
Solution Approach 2:
The patent introduces capacitive sensors as an intermediary between the user's fingers and the tracking system. These sensors act as mediators that translate physical finger gestures into electrical signals, which are then processed to determine finger position and movement. This intermediary approach enables accurate tracking without requiring direct mechanical interaction or complex optical systems.
2Adaptability or versatility
If basic controller design is used, then ease of manufacture is maintained, but user interaction capability is limited
Solution Approach 1:
The patent implements multi-functional capacitive sensing capabilities within the controller. The same capacitive sensor array serves multiple purposes: detecting finger presence, determining finger position,识别ing gesture patterns, and tracking finger movement. This universal sensing approach enables diverse gesture detection capabilities without requiring separate specialized components for each function, thereby maintaining ease of manufacture while enhancing adaptability.
3Reliability
If no finger tracking is implemented, then device complexity is low, but immersion experience is insufficient
Solution Approach 1:
The patent replaces complex mechanical or optical tracking systems with capacitive sensing technology. Capacitive sensors embedded in the controller detect changes in electrical capacitance caused by finger proximity and contact, enabling precise finger position and gesture detection without mechanical components. This substitution achieves high measurement precision while maintaining relatively simple device architecture.
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
The solution provides accurate and immersive finger tracking, allowing users to interact more naturally within virtual environments, enhancing user experience and system control.
Implementation Method 1
an array of proximity sensors, each of the array of proximity sensors including a sensing pad and a trace extending from the sensing pad, the array of proximity sensors being responsive to a proximity of a user's fingers
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A controller includes a body having a handle, and an array of proximity sensors spatially distributed on, in, beneath, or near the outer surface of the handle, responsive to a proximity of a user's fingers to that outer surface. A finger tracker converts the output of the array of proximity sensors to a set of joint angles corresponding to a plurality of the user's fingers. The controller may include a renderer for processing the joint angles to deform a hand mesh that is rendered for display. Values may be calculated to facilitate normalization of the output of the proximity sensor array and thereby generate a set of normalized finger detection data. This data may be processed through curl logic to produce a linear estimate of gross finger curl with respect to the user and thereby generate a set of estimates for a plurality of finger joint angles for the user.