In-Vehicle Gesture Control With Context-Aware Function Mapping
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Solution Overview
Problem
Conventional vehicle gesture recognition systems require users to learn specific gestures for each function, offering low user convenience and inability to perform different inputs based on the situation, limiting functionality.
Innovation Solution
A control system and method that interprets gesture inputs considering situational information, allowing execution of preset functions based on the interpretation, using an input unit, memory, and processor to transmit commands for executing functions corresponding to gestures, with differentiation based on operation state information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional gesture recognition systems provide one-to-one gesture-function mapping, then the system structure is simple, but user convenience is low and the system cannot adapt to different situations
Solution Approach 1:
The patent implements dynamic gesture interpretation by continuously monitoring operation state information (such as current vehicle mode, driver status, and environmental conditions) and adjusting the mapping between gestures and functions in real-time. The processor dynamically determines which function to execute based on the combination of gesture input and current operation state, enabling the system to adapt to different situations without requiring multiple physical gesture sets.
Solution Approach 2:
The system changes the interpretation parameters of gestures based on operation state information. Instead of fixed gesture meanings, the same physical gesture can map to different functions depending on contextual parameters such as current vehicle mode (driving, parking, charging), driver authentication status, and environmental conditions. This parameter-based adaptation resolves the contradiction by making the system versatile while maintaining a simple gesture set.
2Adaptability or versatility
If multiple gestures are defined for different functions, then function coverage is complete, but user learning burden increases
Solution Approach 1:
The patent makes gestures universal by enabling a single gesture to perform multiple functions based on the current operation state. For example, a hand-raising gesture might adjust air conditioning temperature during normal operation but could trigger a different function during charging mode. This multi-functionality approach maintains complete function coverage while reducing the total number of gestures users need to learn, as each gesture adapts its meaning contextually rather than requiring separate gestures for each function.
Solution Approach 2:
The system segments the gesture-function mapping process into two independent parts: (1) a small set of basic physical gestures that remain consistent, and (2) dynamic function assignment based on operation state information. This segmentation allows the gesture vocabulary to remain simple and easy to learn, while the function coverage is expanded through contextual interpretation by the processor that analyzes operation state and maps gestures to appropriate functions.
3Adaptability or versatility
If the system provides fixed gesture functions, then the control logic is simple, but the system cannot provide context-aware control
Solution Approach 1:
The system implements feedback loops where the processor continuously receives operation state information (such as current vehicle mode, sensor data, and system status), compares it with predefined conditions, and adjusts gesture interpretation accordingly. This feedback mechanism enables context-aware control by constantly updating the mapping between gestures and functions based on real-time operational context, while the control logic complexity is managed through structured conditional processing rather than complex algorithms.
Solution Approach 2:
The system performs preliminary analysis of operation state information before executing gesture-based commands. The processor pre-evaluates the current operation state and determines the appropriate function mapping in advance, so when a gesture is received, the system can quickly execute the predetermined function without complex real-time decision-making. This preliminary action approach provides context awareness while keeping the actual control logic relatively simple and responsive.
Data Source
AI summary
Provided are a control system and method using an in-vehicle gesture input, and more particularly, a system for receiving an occupant's gesture and controlling the execution of vehicle functions. The control system using an in-vehicle gesture input includes an input unit configured to receive a user's gesture, a memory configured to store a control program using an in-vehicle gesture input therein, and a processor configured to execute the control program. The processor transmits a command for executing a function corresponding to a gesture according to a usage pattern.