3D Point Selection for See-Through Measurement Input Switching
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Solution Overview
Problem
Existing electronic devices lack efficient methods for measuring distances and dimensions in three-dimensional environments using alternative or additional input mechanisms beyond traditional touch screen interactions.
Innovation Solution
Implementing various measurement techniques such as finger-touching, active gaze, controller-based, fixed crosshair, and line of sight-based methods to identify 3D positions of measurement points, utilizing image sensors and user inputs to determine 3D coordinates and provide measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional touch screen interaction is used for measurement, then the device operation is simple, but the measurement versatility in 3D environments is limited
Solution Approach 1:
The system implements multiple point identification techniques (finger touching, active gaze, controller-based, fixed crosshair, line of sight-based methods) that can be used across different measurement scenarios. This multi-functional approach allows the same measurement system to handle various input types and 3D environment requirements, improving versatility without requiring separate dedicated systems for each method
Solution Approach 2:
The system dynamically selects and switches between different point identification techniques based on the measurement context, user input state, and environmental conditions. This dynamic adaptation allows the system to optimize its operation mode in real-time, transitioning between simple touch interaction and more complex gaze or controller-based methods as needed
2Measurement precision
If multiple point identification techniques are implemented, then the measurement precision is improved, but the system complexity increases
Solution Approach 1:
The system employs dynamic selection logic that evaluates current measurement conditions and automatically chooses the most appropriate point identification technique. This dynamic approach maintains high measurement precision by selecting the optimal method for each scenario while avoiding the unnecessary complexity of permanently implementing all possible techniques simultaneously
Solution Approach 2:
The system includes automatic technique selection and switching capabilities that operate autonomously based on detected user intent and measurement context. The system self-regulates which identification method to use, reducing the need for complex manual configuration and simplifying the user interface while maintaining access to multiple precision techniques
3Adaptability or versatility
If finger line-of-sight technique is used, then the measurement versatility in 3D environments is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system introduces intermediate reference elements such as fixed crosshairs, virtual markers, and environmental feature points that serve as mediators between the user's finger positioning and the final measurement target. These intermediaries provide visual feedback and reference frames that make it easier to detect and measure finger position in 3D space, reducing the difficulty of line-of-sight-based measurement
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods that provide point identification techniques for electronic devices such as optical see-through head mounted devices. In some implementations, a line of sight technique is used to identify a 3D position of a point. In some implementations, a touching technique is used to identify a 3D position of a point. In some implementations, different point identification techniques are automatically selected and used to identify a 3D position of a point. In some implementations, a 3D position of a point is associated with user input. In some implementations, a 3D position of a point is identified to determine distances, surface areas, or volumes.