Fatigue Detection Using Steering Grip and Brain Wave Analysis
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Solution Overview
Problem
Fatigue driving is a significant cause of traffic accidents, and existing technologies lack effective real-time monitoring and quantitative judgment to promptly alert drivers, leading to increased reaction times and accident probabilities.
Innovation Solution
A device and method that combines a first detection unit on the steering wheel to measure grip values and a head-wearable unit to detect brain wave amplitudes, using thresholds to determine a suspected fatigue state and trigger warnings, thereby reducing the likelihood of accidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time monitoring and quantitative judgment of driver fatigue state is implemented, then traffic accident probability is reduced by 60%, but device complexity increases due to multiple detection units and processing systems
Solution Approach 1:
The patent combines multiple detection units (grip detection, brain wave detection, eye state detection) into an integrated fatigue detection system that works together to monitor driver state. The controller merges data from all sensors to comprehensively determine fatigue status, achieving high reliability through systematic integration of multiple detection modalities.
Solution Approach 2:
The detection system is designed to perform multiple functions: grip force detection, brain wave amplitude detection, eye state monitoring, and comprehensive fatigue assessment. This multi-functional approach allows a single system to address various aspects of driver fatigue simultaneously, improving reliability without requiring separate independent systems for each function.
2Measurement precision
If multiple detection units (grip, brain wave, eye state) are used to accurately detect fatigue state, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The fatigue detection system is segmented into independent detection modules: grip detection unit, brain wave detection unit, and eye state detection unit. Each module independently measures a specific physiological parameter, and the controller integrates these segmented measurements to achieve comprehensive and precise fatigue assessment. This modular segmentation allows precise measurement through multiple specialized sensors.
Solution Approach 2:
The system transitions from single-dimensional detection (one parameter) to multi-dimensional detection by incorporating grip force, brain wave amplitude, and eye state measurements simultaneously. This dimensional expansion enables more accurate fatigue state determination by analyzing driver condition from multiple physiological dimensions rather than relying on a single indicator.
3Loss of time
If continuous monitoring is performed to ensure real-time fatigue detection, then reaction time is shortened by 0.5 second, but energy consumption increases
Solution Approach 1:
The detection system operates continuously to monitor driver fatigue state without interruption, maintaining constant surveillance of grip force, brain wave activity, and eye state. This continuous operation ensures that fatigue detection occurs in real-time, enabling the system to detect changes immediately and alert the driver without delay, thus shortening reaction time.
Solution Approach 2:
The controller performs periodic processing of detection data at predetermined intervals, analyzing accumulated measurements to determine fatigue state. This periodic action allows the system to maintain continuous monitoring capability while managing energy consumption through interval-based data processing rather than constant computation, balancing real-time detection with energy efficiency.
Data Source
AI summary
This disclosure provides a device and method for detecting fatigue driving. The device for detecting fatigue driving comprises: a first detection unit, which is disposed on a steering wheel of a vehicle, and configured to detect a grip of a driver on the steering wheel and transmit the detected grip value; and a controller, which is configured to receive the detected grip value, and determine whether the driver is in a suspected fatigue driving state according to the detected grip value and a grip standard sample value.