Interaction System Gesture Recognition Using Integral Position Offset
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Solution Overview
Problem
Conventional interaction systems often misjudge hand gestures due to slight hand movements caused by opposing forces, leading to incorrect interpretation of intended motions.
Innovation Solution
An interaction system that captures images, recognizes a target object, and calculates a first integral value of its position offset over time to determine if the object is moving, using a predetermined threshold value to differentiate between intended gestures and unintended movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the interaction system detects any hand motion signal and outputs the moving direction directly, then the system responds quickly to hand movements, but the system misjudges gestures caused by slight unintended hand movements
Solution Approach 1:
The patent changes the detection parameter from simple displacement to integral value of displacement over time. By integrating the displacement values across multiple time points, the system distinguishes between intentional gestures (sustained displacement) and unintended movements (transient displacement), thereby improving recognition accuracy while maintaining response speed
Solution Approach 2:
The patent introduces an intermediary processing step (integral calculation) between motion detection and gesture recognition. This intermediary mechanism filters out noise from unintended movements while preserving signals from intentional gestures, resolving the contradiction between quick response and accurate recognition
2Device complexity
If the interaction system uses simple displacement detection, then the system complexity is low, but the system cannot distinguish between intended and unintended hand movements
Solution Approach 1:
The patent transforms the detection parameter from simple displacement to integral value of displacement over time. This parameter change enables the system to distinguish between intended and unintended movements through mathematical integration, improving measurement precision while maintaining reasonable algorithmic complexity
Solution Approach 2:
The patent replaces complex mechanical or hardware-based motion analysis with a computational approach (integral calculation). This substitution achieves high measurement precision through software processing rather than complex hardware, balancing complexity and precision
Data Source
AI summary
A motion detection method applied in an interaction system is provided. The method has the following steps of: retrieving a plurality of images; recognizing a target object from the retrieved images; calculating a first integral value of a position offset value of the target object along a first direction from the retrieved images; determining whether the calculated first integral value is larger than a first predetermined threshold value; and determining the target object as moving when the calculated first integral value is larger than the first predetermined threshold value.


