Non-contact Gesture Control Misoperation Prevention
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Solution Overview
Problem
Users experience misoperations due to repeated recognition of gesture motions, voice commands, lip commands, or brain wave commands in non-contact gesture control systems, leading to incorrect command execution.
Innovation Solution
Implement a method to determine the number of cancellations of gesture motions and adjust the recognition process to prevent multiple misoperations by comparing control instructions within a preset delay period, using pre-stored mapping relationships between gestures and commands, and disabling or resetting mappings for high misrecognition gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a user repeatedly makes the same gesture motion to strengthen the intention, then the gesture recognition confidence is improved, but multiple misoperations occur due to repeated command recognition
Solution Approach 1:
The system pre-judges whether a received gesture motion is a misoperation before executing the corresponding control instruction. This preliminary judgment mechanism prevents misoperations from being executed, while still allowing users to repeat gestures for confidence strengthening without causing multiple misoperations.
Solution Approach 2:
The system provides feedback by judging and identifying misoperations in real-time during gesture recognition. When a misoperation is detected, the system prevents execution and can provide feedback to the user, allowing the user to correct the gesture without causing harmful repeated actions.
2Speed
If the system recognizes and executes each gesture motion independently, then the response speed is improved, but misoperations cannot be distinguished from valid commands
Solution Approach 1:
The system performs a preliminary judgment operation before executing the control instruction. This pre-check mechanism quickly identifies misoperations without significantly delaying valid commands, maintaining fast response speed while improving recognition accuracy through the additional validation step.
Data Source
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Figure 2
Figure 2a
AI summary
The present invention applies to the field of human-machine interaction technologies, provides a non-contact gesture control method for controlling an electronic terminal device and the electronic terminal device, where the method includes: receiving an A1 gesture motion of a user, where the A1 gesture motion is not in contact with the electronic terminal device; obtaining, by means of recognition, an A1 control instruction corresponding to the A1 gesture motion, where the A1 control instruction is used to control the electronic terminal device so that the electronic terminal device performs an operation corresponding to the A1 control instruction; obtaining an A2 control instruction of the user within a preset delay period, where the preset delay period is less than three seconds and the A2 control instruction is used to control the electronic terminal device; and comparing the A1 control instruction with the A2 control instruction, where if the A1 control instruction is consistent with the A2 control instruction, the electronic terminal device does not perform an operation corresponding to the A2 control instruction; and if the A1 control instruction is inconsistent with the A2 control instruction, the electronic terminal device performs the operation corresponding to the A2 control instruction.