Finger Valley Gesture Recognition for Vehicle Control
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Solution Overview
Problem
Conventional in-vehicle electronic device control systems using 2D cameras struggle to accurately recognize hand gestures due to limitations in extracting 3D information, leading to reduced reliability and increased risk of distracting drivers during operation.
Innovation Solution
A system and method that utilize a 2D imaging device to capture and process finger valleys, extracting 3D posture and trajectory to recognize hand gestures, allowing for the control of vehicle equipment without requiring the passenger's field of vision, thereby enhancing driving safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a 2D camera is used to capture hand gestures, then the system cost is reduced, but the accuracy of hand gesture recognition deteriorates due to inability to extract 3D information
Solution Approach 1:
The patent transforms 2D camera data into 3D hand gesture information by detecting finger valleys and computing spatial trajectories. The system extracts three-dimensional posture data from two-dimensional images through mathematical calculations involving finger valley positions, creating a virtual 3D representation of hand gestures without requiring physical 3D sensors.
Solution Approach 2:
The patent introduces an intermediary processing layer that converts 2D image data into 3D gesture information. By using finger valley detection as an intermediate step and mathematical trajectory computation as a mediator, the system bridges the gap between 2D camera input and 3D gesture recognition output, enabling accurate recognition without direct 3D sensing.
2Ease of operation
If hand gesture recognition is implemented to enable hands-free operation, then passenger convenience is improved, but driving safety deteriorates due to potential distraction
Solution Approach 1:
The system enables passengers to control vehicle functions autonomously through hand gestures without requiring physical interaction with buttons or screens. The gesture recognition system processes hand movements automatically, allowing passengers to operate climate control, audio systems, and other vehicle functions while maintaining eye contact with the road, thus serving the passenger's need for convenience without compromising driving safety.
3Measurement precision
If 3D camera is used to capture hand gestures, then the accuracy of hand gesture recognition is improved, but the system cost and complexity increase
Solution Approach 1:
The patent creates a virtual copy of 3D hand gesture information from 2D camera data. By mathematically reconstructing three-dimensional trajectories from two-dimensional finger valley positions, the system generates an accurate representation of hand gestures without requiring physical 3D sensors. This virtual copying approach maintains recognition accuracy while avoiding the cost and complexity of 3D imaging hardware.
Data Source
AI summary
A method for manipulating a user interface within a vehicle using finger valleys includes receiving, by a controller, a captured image and detecting finger valleys from the captured image. In addition a hand gesture is recognized by the controller using the finger valleys and a vehicle equipment operation that corresponds to the recognized hand gesture is selected. Accordingly, the passenger is able to manipulate a vehicle steering wheel with one hand and look forward while operating many in-vehicle electronic devices with simple motions of the other hand, thereby improving passengers' convenience and driving safety.