Depth Image Motion Detection for Intuitive Control
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Solution Overview
Problem
Existing computing applications, such as games and multimedia systems, often require users to learn complex controls like controllers or keyboards, which can create a barrier and may not directly correspond to actual actions, making user interaction less intuitive.
Innovation Solution
A system that uses depth images to track user or object motion, allowing users to manipulate game characters or application elements by moving their body or objects, rather than relying on traditional controls, by creating a reference image and updating it with new depth images to detect and group motion data for updating applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional controls like controllers, keyboards, or mice are used, then application functionality can be achieved, but user interaction becomes complex and requires learning curves
Solution Approach 1:
The patent replaces traditional mechanical control systems (controllers, keyboards, mice) with a depth-based motion detection system that uses optical fields and image processing to capture and interpret user movements naturally, eliminating the need for physical control devices
Solution Approach 2:
The system creates a virtual copy of the user's physical movements by capturing depth images and translating real-world motion into corresponding in-game or application actions, allowing natural movement to directly control the digital environment
2Adaptability or versatility
If traditional controls are used to manipulate game characters, then application control is achieved, but the controls do not correspond to actual actions
Solution Approach 1:
The system segments the user's body into distinct depth-based regions and tracks movements of specific body parts independently, allowing precise mapping of natural actions to corresponding in-game character actions
Solution Approach 2:
The system changes the parameter space from traditional 2D screen coordinates to 3D depth-based spatial coordinates, enabling more intuitive mapping between physical movement and digital action by incorporating depth information
Data Source
AI summary
A sensor system creates a sequence of depth images that are used to detect and track motion of objects within range of the sensor system. A reference image is created and updated based on a moving average (or other function) of a set of depth images. A new depth images is compared to the reference image to create a motion image, which is an image file (or other data structure) with data representing motion. The new depth image is also used to update the reference image. The data in the motion image is grouped and associated with one or more objects being tracked. The tracking of the objects is updated by the grouped data in the motion image. The new positions of the objects are used to update an application.


