Gesture Recognition Apparatus Speed-Based Mode Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing recognition apparatuses require users to manually select operation modes, leading to cumbersome gestures for switching between modes due to similarities in gestures for different modes, such as moving a mouse cursor and scrolling, which complicates intuitive operation.
Innovation Solution
A recognition apparatus that includes an acquiring unit, a calculator, a comparing unit, and a control unit to determine the moving speed of a user's hand, selecting between two recognition methods based on a threshold to differentiate between cursor movement and scrolling actions, thereby automating mode selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the same gesture is used for multiple operations (cursor movement and screen scrolling), then the gesture interface is simpler and more intuitive, but users must manually select the operation mode because the gestures are ambiguous
Solution Approach 1:
The patent changes the parameter of gesture speed to differentiate between operations. Fast hand movements are interpreted as cursor movement commands, while slow hand movements are interpreted as screen scrolling commands. This parameter-based differentiation eliminates the need for mode selection while maintaining intuitive gesture usage.
Solution Approach 2:
The system dynamically adjusts its interpretation of gestures based on the detected speed parameter. The recognition apparatus continuously monitors hand movement speed and switches between different recognition methods (cursor movement recognition vs. scrolling recognition) depending on whether the movement is fast or slow, enabling automatic mode switching without user intervention.
2Reliability
If users manually select operation modes before using gestures, then the system can provide precise control for each mode, but the operation process becomes more complex and time-consuming
Solution Approach 1:
The system performs preliminary detection of hand movement speed before executing the gesture operation. By pre-classifying the gesture type based on speed (fast vs. slow) before processing, the system automatically determines the operation mode in advance, eliminating the need for users to manually select modes and reducing operation time while maintaining precise control.
Solution Approach 2:
The recognition apparatus performs self-service by automatically determining the operation mode based on the detected gesture speed. The system serves itself by using the speed parameter to automatically switch between recognition methods without requiring user input for mode selection, thereby reducing time loss while maintaining operational precision.
3Device complexity
If the system uses a single recognition method for all gestures, then the system is simpler to implement, but it cannot accurately distinguish between similar gestures for different operations
Solution Approach 1:
The patent introduces speed as a new parameter for gesture recognition. By incorporating speed information into the recognition process, the system can accurately differentiate between similar gestures (cursor movement vs. scrolling) that would otherwise be indistinguishable. This parameter enhancement improves measurement precision without significantly increasing system complexity.
Solution Approach 2:
The recognition system is segmented into two distinct recognition methods based on speed threshold: one for fast movements (cursor operation) and one for slow movements (scrolling operation). This segmentation allows each method to be optimized for its specific gesture type, improving overall differentiation accuracy while keeping each individual method relatively simple.
Data Source
AI summary
The acquiring unit is configured to acquire positions of a particular part of a user in time series. The calculator is configured to calculate a feature value of a motion of the particular part from the positions acquired in time series. The comparing unit configured to compare the feature value and a first threshold. The recognizing unit is configured to recognize the motion of the particular part using a first recognition method and a second recognition method which is different from the first recognition method. The control unit configured to control the recognizing unit to select the first recognition method for recognizing a position or a motion of the particular part when the feature value is smaller than the first threshold, and select the second recognition method when the feature value is equal to or larger than the first threshold.