Touchless Navigation Gesture Control via Image Capture
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Solution Overview
Problem
Users face difficulties operating modern navigation systems, such as those in portable devices, due to the need for touch-based commands, which can be inconvenient and distracting, especially during use in vehicles.
Innovation Solution
A navigation system that employs an image capture unit to capture gestures and a control unit to distinguish between command motions and natural motions based on these gestures, along with auditory cues and contextual information, to generate command combinations for instructing the system without physical touch input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If touch-based commands are used to operate navigation systems, then the system functionality is enhanced, but user distraction and safety risks increase during vehicle operation
Solution Approach 1:
The patent replaces mechanical touch-based input with acoustic field-based gesture recognition. The image capture unit detects hand gestures in the air space, and the control unit translates these gestures into commands, substituting physical contact with optical field detection to eliminate the need for touchscreen interaction during driving.
Solution Approach 2:
The patent introduces an intermediary gesture recognition system between the user and the navigation system. Instead of direct touch interaction, users perform hand gestures in the air that are captured by the image capture unit and translated by the control unit into system commands, creating a non-contact interface that reduces distraction.
2Measurement precision
If touch-based interaction is required for navigation system operation, then precise command input is achieved, but ease of operation deteriorates in mobile environments
Solution Approach 1:
The patent transitions from two-dimensional touchscreen interaction to three-dimensional spatial gesture recognition. The image capture unit detects hand gestures in three-dimensional space, allowing users to issue commands through natural hand movements in the air, thereby improving ease of operation while maintaining command precision through sophisticated gesture-to-command mapping.
3Reliability
If the system distinguishes between command motions and natural motions, then false command activation is reduced, but device complexity increases
Solution Approach 1:
The control unit implements feedback mechanisms by analyzing multiple parameters of detected gestures including motion trajectory, speed, duration, and spatial position. The system compares detected gestures against predefined command gesture patterns and natural motion patterns, using this feedback to accurately distinguish between intentional commands and natural movements, thereby reducing false activations while managing complexity through algorithmic processing.
Data Source
AI summary
A navigation system includes: an image capture unit, configured to capture a gesture; a control unit, coupled to the image capture unit, configured to distinguish between a command motion and a natural motion based on the gesture, an auditory cue, and a contextual information; and generate a command combination for instructing the navigation system based on the command motion and the auditory cue.