In-Vehicle Gesture Recognition Using State-Based Gesture Branching
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Solution Overview
Problem
Existing gesture recognition methods in vehicles face issues with overload and reliability degradation due to continuous image recognition, leading to incorrect gesture recognition and reduced user convenience.
Innovation Solution
An apparatus and method that utilize a sensor device and processor to interwork with the infotainment system, branching gestures based on vehicle states, such as speed, road type, and user conditions, to efficiently recognize and prioritize gestures, reducing unnecessary calculations and enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If continuous image recognition is performed for gesture recognition, then gesture recognition capability is provided, but processor overload and reliability degradation occur
Solution Approach 1:
The system performs gesture recognition at specific periods or intervals rather than continuously. The processor determines whether to perform gesture recognition based on predetermined conditions (e.g., vehicle speed thresholds, steering wheel angle thresholds, road type conditions), creating a periodic action pattern that reduces processor overload while maintaining necessary gesture recognition capability.
2Adaptability or versatility
If continuous image recognition is performed, then gesture recognition is available, but harmful factors such as overload are generated
Solution Approach 1:
The system performs gesture recognition partially rather than fully continuously. By applying partial action only when predetermined conditions are met (such as vehicle speed ≤ threshold speed, steering wheel angle ≤ threshold angle, specific road types), the system avoids processor overload while maintaining gesture recognition availability when needed.
3Adaptability or versatility
If gesture recognition is performed without condition-based branching, then all gestures can be recognized, but incorrect recognition probability increases
Solution Approach 1:
The system applies different recognition qualities or thresholds based on local conditions. By branching gesture recognition based on vehicle state (speed, steering angle), road type, and infotainment system state, the system optimizes recognition accuracy for each specific situation rather than using a uniform recognition approach, thereby reducing incorrect recognition probability.
4Measurement precision
If condition-based gesture branching is implemented, then recognition accuracy improves, but device complexity increases
Solution Approach 1:
The system performs preliminary determination of vehicle state and gesture recognition conditions before executing gesture recognition. The processor pre-evaluates conditions such as vehicle speed, steering wheel angle, and road type, and only proceeds with gesture recognition when conditions are favorable. This preliminary action simplifies the overall system logic by avoiding complex real-time decision-making during gesture recognition.
Data Source
AI summary
An apparatus is configured to efficiently recognize a gesture by interworking with an infotainment system. The apparatus obtains information about the gesture of a user, is connected with the infotainment system of a vehicle to identify a state of the infotainment system, branches a gesture allowed in recognition, based on the state of the infotainment system, and performs gesture recognition, based on the information about the sensed gesture and a result of branching the gesture allowed in recognition. The apparatus addresses overload and reliability degradation problems according to continuous image recognition.