Micro-Doppler Cube Gesture Recognition for Vehicle Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Variations in control mechanisms in vehicles lead to operator frustration, as different systems may rely on touchscreens, buttons, knobs, or combinations, resulting in inconsistent user experiences.
Innovation Solution
A system utilizing three Doppler radar devices and a processor to generate a micro-Doppler cube from received Doppler information, classifying gestures into categories, allowing for intuitive control of vehicle systems through human extremity movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple types of control mechanisms (touchscreens, buttons, knobs) are used in vehicles, then different vehicle systems can be controlled, but operator frustration increases due to inconsistent user experiences
Solution Approach 1:
The patent applies universality by implementing a standardized touchscreen interface that can control multiple different vehicle systems (infotainment, climate control, navigation, etc.) through a single consistent interaction paradigm. This eliminates the need for separate control mechanisms for different functions, allowing one universal interface to adapt to various control needs while maintaining consistent user experience across all systems.
2Ease of operation
If a standardized touchscreen control mechanism is implemented across all vehicle systems, then user experience consistency improves, but the system lacks adaptability to different control preferences
Solution Approach 1:
The patent applies dynamics by making the touchscreen interface adaptive and reconfigurable based on user preferences and contextual needs. The system can dynamically adjust its behavior, offering different interaction modes (gesture control, voice commands, traditional touch) and customizable layouts that evolve based on usage patterns, thereby maintaining consistency in the interface paradigm while adapting to individual user preferences.
3Ease of operation
If traditional control mechanisms (buttons, knobs) are used, then ease of operation for specific functions is maintained, but device complexity increases due to multiple control types
Solution Approach 1:
The patent applies the extraction principle by removing traditional physical control mechanisms (buttons, knobs) and consolidating their functions into a single touchscreen interface. Each function previously requiring a dedicated physical control is extracted and reimplemented as a software-based control element on the touchscreen, thereby reducing the total number of control mechanisms while maintaining function-specific control precision through specialized touchscreen interactions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and intuitive gesture recognition, reducing operator frustration by providing a consistent interface for controlling various vehicle systems, such as infotainment and navigation, through the interpretation of human extremity movements.
Implementation Method 1
receive Doppler information from the at least three Doppler radar devices
Data Source
AI summary
A system for interpreting gestures may include one or more processors, at least three Doppler radar devices, and a memory device. The memory device may have a receiving module, a cube generating module, and a classifying module. The receiving module may include instructions that cause the one or more processors to receive Doppler information from the at least three Doppler radar devices. The cube generating module may include instructions that cause the one or more processors to generate a micro-Doppler cube by projecting Doppler information in X, Y, and Z-directions over a period of time into the micro-Doppler cube. The classifying module may include instructions that cause the one or more processors to classify one or more gestures performed by an extremity when located in the volume into a category of a plurality of categories based on the micro-Doppler cube.