Activity Surface Detection Using Video Overlay
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Solution Overview
Problem
Existing tangible user interfaces are expensive, require high-quality sensors, and are difficult to set up and use, limiting their adoption due to high costs and complexity.
Innovation Solution
A method using a computing device with a video capture device to detect user activity on a physical surface by capturing a video stream, processing it to recognize contours, and overlaying the traceable image for real-time feedback and progress tracking, allowing intuitive and cost-effective interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expensive high-quality sensors are used to digitize user interactions, then measurement precision is improved, but device cost increases
Solution Approach 1:
The patent uses a camera to capture optical images of the activity surface and user interactions, creating a visual copy of the physical space. This optical copying approach replaces expensive tactile sensors by using standard camera technology to detect and digitize user actions through image processing and contour detection algorithms.
Solution Approach 2:
The patent substitutes mechanical sensor systems with an optical-based system. Instead of using physical sensors to detect user interactions, the system uses a camera to capture visual data, processes images to identify contours and gestures, and translates these visual patterns into digital commands, replacing the mechanical sensing approach with optical detection and computational analysis.
2Difficulty of detecting and measuring
If complex sensor systems are implemented, then detection capability is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically captures images of the activity surface, processes the visual data to detect user interactions, and generates digital commands without requiring manual sensor placement or configuration. The camera continuously monitors the surface, and the processing system autonomously identifies contours and gestures, eliminating the need for users to manually set up or calibrate complex sensor arrays.
Solution Approach 2:
The patent employs a standard camera that can capture various types of interactions on different activity surfaces without requiring specialized sensors for each application. The same imaging and processing system handles diverse user actions including drawing, writing, and gesturing on various surfaces, providing a universal detection mechanism that simplifies operation across multiple use cases.
3Speed
If real-time video processing is performed, then responsiveness is improved, but use of energy increases
Solution Approach 1:
The system extracts only the essential visual information needed for interaction detection by focusing processing on identifying contours and significant features in the video stream. Rather than processing every pixel of each frame, the system selectively analyzes changes and patterns that indicate user actions, reducing the computational load and energy consumption while maintaining real-time responsiveness.
Data Source
AI summary
Activity surface detection, display, and enhancement implementations are described. In an example implementation, a method determines, using a processor of a computing device, a traceable image and presenting the traceable image in an interface on a display of the computing device; captures, using a video capture device coupled to the computing device, a video stream of a physical activity surface proximate to the computing device; anddisplays, on the display of the computing device, the captured video stream overlaid with the traceable image in the interface.