Adaptive Gesture Re-engagement Using Dynamic Stringency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current gesture recognition systems face challenges in determining the clear beginning and end of gestures in touch-free systems, leading to inefficiencies in engaging and re-engaging gesture modes, especially for repetitive inputs.
Innovation Solution
The system detects user gestures by analyzing steady hand positions, hand poses, and changes in direction using depth sensors, image sensors, and ultrasound sensors, allowing for less stringent re-engagement conditions to facilitate rapid successive gestures without requiring full re-engagement for each command.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system requires strict gesture conditions for re-engagement, then gesture recognition accuracy is improved, but gesture execution speed deteriorates
Solution Approach 1:
The patent applies dynamics by making the gesture recognition conditions adaptive rather than static. The system dynamically adjusts the stringency of gesture conditions based on the operational context: using stricter conditions for initial engagement and more relaxed conditions for re-engagement. This allows the system to optimize between accuracy and speed depending on the situation, resolving the contradiction between precise recognition and fast execution.
Solution Approach 2:
The patent changes the parameters of gesture recognition by introducing different condition sets for different operational phases. The system uses a first set of stringent parameters for initial gesture detection and a second set of relaxed parameters for subsequent gestures. This parameter switching enables the system to maintain high accuracy when needed while achieving fast execution speed during repetitive operations.
2Ease of operation
If the system uses touch-free gesture detection, then user convenience is improved, but gesture boundary detection capability deteriorates
Solution Approach 1:
The patent uses feedback mechanisms to address gesture boundary detection in touch-free systems. By providing visual or haptic feedback when a gesture is recognized, the system creates a closed-loop system where the user can see when their gesture has been detected. This feedback helps users understand gesture boundaries and timing without requiring physical contact, maintaining convenience while improving detection reliability.
Solution Approach 2:
The system performs preliminary actions by establishing a gesture mode state before actual gesture execution. Once the system is in gesture mode, it becomes more sensitive to subsequent hand movements, effectively pre-positioning the detection system to recognize gestures more easily. This preliminary state setup helps overcome the difficulty of detecting gesture boundaries in touch-free systems.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Systems, methods, apparatuses, and computer-readable media are provided for use with a system configured to detect gestures. In one embodiment, a method includes detecting a first user gesture meeting a first condition to enter a mode of operation. The method may further include exiting the mode of operation. The method may further include detecting a second user gesture meeting a second condition to reenter the mode of operation based on the detecting the first user gesture, wherein the second condition is less stringent than the first condition.