Optical Touch Display Multi-Point Gesture Recognition via Dual Image Capture
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Solution Overview
Problem
Conventional optical touch display devices struggle to accurately recognize and process multi-point touch inputs, often misinterpreting gestures when multiple fingers are used, leading to inefficient and humanized interaction.
Innovation Solution
An optical touch display device comprising a display module, first and second image capturing modules, and a processing module that generates touch points through specific gestures, captures images, determines touch chords, and performs corresponding actions based on gesture analysis, simplifying input operations by calculating the center position of observation points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing technology is used to capture touch inputs, then the system can detect single-point touches, but it fails to accurately recognize multi-point touch gestures and often mis-operates
Solution Approach 1:
The patent divides the touch recognition process into multiple stages: capturing multiple images from different angles, extracting observation points from each image, determining touch chords by connecting observation points, and recognizing gestures based on chord patterns. This segmentation allows the system to handle multi-point touches by processing each touch point and its corresponding chord separately, resolving the contradiction between measurement precision and multi-point capability
Solution Approach 2:
The patent introduces a new dimension of analysis by capturing images from multiple angles (different viewing positions) and using the spatial relationships between observation points to determine touch chords. This dimensional approach transforms the recognition problem from simple point detection to geometric pattern recognition, enabling accurate multi-point gesture recognition while maintaining single-point detection accuracy
2Measurement precision
If the system uses multiple image capturing modules to improve gesture recognition, then multi-point touch accuracy improves, but the device complexity increases
Solution Approach 1:
Each image capturing module in the patent is designed to perform multiple functions: capturing touch point positions, determining observation points, and contributing to chord calculation. The processing module universally handles data from all capturing modules using the same chord determination algorithm. This multi-functionality reduces the need for specialized components for each function, thereby improving gesture recognition accuracy without proportionally increasing device complexity
Solution Approach 2:
The patent uses multiple image capturing modules positioned at different locations to capture identical touch events from different angles. Each module creates a copy of the touch information from its perspective, and the processing module synthesizes these copies to determine accurate touch chords. This copying approach enables accurate gesture recognition through multiple viewpoints while using simple, replicated hardware components rather than complex specialized sensors
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
Enhances humanized interaction by accurately recognizing and processing multi-point touch inputs, simplifying operations and improving the accuracy of gesture recognition, thereby addressing the limitations of prior art.
Implementation Method 1
the light will be shielded or blocked at certain position of the monitor by the finger
Data Source
AI summary
The invention provides an optical touch display device. The optical touch display device comprises a display module, a first image capturing module, a second image capturing module and a processing module. The display module generates N touch points according to a touch gesture, the touch gesture has a specific moving model, and N is a positive integer. The first image capturing module retrieves a first image relating to N touch points. The second image capturing module retrieves a second image relating to N touch points. The processing module determines correspondingly a specific touch chord of N touch points according to the first image and the second image, and determines correspondingly a specific function of the touch gesture according to the specific touch chord and the specific moving mode.