Touch-Free Gesture Detection Using Control Boundaries
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Solution Overview
Problem
Current touch-free gesture detection systems are limited in the number of different types of gestures they can detect and act upon, restricting user interaction with devices.
Innovation Solution
A touch-free gesture recognition system that includes a processor configured to receive image information from an image sensor, detect user gestures, determine their location, access information associated with control boundaries, and cause actions based on the detected gestures and their relationship to these boundaries, enabling a wider range of user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If touch-free gesture detection systems use traditional gesture recognition methods, then the system structure remains simple, but the number of detectable gesture types is limited
Solution Approach 1:
The patent introduces a spatial dimension by defining control boundaries in three-dimensional space around the display device. Gestures are no longer recognized solely based on their position on a two-dimensional screen, but are evaluated based on their relationship to volumetric control boundaries. This dimensional expansion enables the system to recognize a broader range of gesture types while maintaining the same hardware components, thus improving versatility without significantly increasing device complexity.
Solution Approach 2:
The patent segments the interaction space into distinct control boundaries (e.g., left boundary, right boundary, top boundary, bottom boundary) associated with different display regions or functions. By dividing the spatial environment into manageable zones, the system can independently process and recognize different gesture types in different regions, enabling more comprehensive gesture recognition without requiring a complete system redesign.
2Adaptability or versatility
If the system recognizes more gesture types by expanding the field of view, then gesture recognition versatility improves, but the processing complexity increases
Solution Approach 1:
The patent applies local quality by assigning different control boundaries to different spatial regions with specific functions or characteristics. Each boundary can be configured with different detection parameters and gesture recognition rules tailored to its specific location and purpose. This localized approach allows the system to handle complex gesture recognition in specific areas without requiring the entire field of view to be processed at the same complexity level, thus managing overall processing complexity while maintaining versatility.
Data Source
AI summary
Systems, methods and non-transitory computer-readable media for triggering actions based on touch-free gesture detection are disclosed. The disclosed systems may include at least one processor. A processor may be configured to receive image information from an image sensor, detect in the image information a gesture performed by a user, detect a location of the gesture in the image information, access information associated with at least one control boundary, the control boundary relating to a physical dimension of a device in a field of view of the user, or a physical dimension of a body of the user as perceived by the image sensor, and cause an action associated with the detected gesture, the detected gesture location, and a relationship between the detected gesture location and the control boundary.