Fatigue Score Calculation Using Eye Tracking and Vehicle Dynamics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting vehicle operator fatigue and distraction are often unreliable, require obtrusive equipment, and lack integration with vehicle data, posing safety and productivity risks, especially in operations involving multiple vehicles.
Innovation Solution
A system utilizing a camera and onboard vehicle detectors to calculate an operator fatigue score by monitoring eye movements, vehicle activity, and environmental data, providing real-time fatigue and distraction assessment without requiring special equipment, and allowing central monitoring of multiple vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video-based eye tracking systems are used to detect fatigue, then measurement precision of eye activity is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple detection methods (steering adjustments, eye tracking, steering wheel activity) into a single integrated fatigue detection system. The central computer processes data from multiple sources simultaneously, merging their outputs to generate a comprehensive fatigue score, thereby achieving high measurement precision without requiring separate complex systems for each detection method.
Solution Approach 2:
The system uses a single camera system that serves multiple functions: detecting eye position, tracking eye movements, measuring pupil diameter, and monitoring blinking behavior. This multi-functional approach allows the system to gather comprehensive eye activity data without adding proportional increases in device complexity.
2Ease of operation
If steering wheel activity monitoring is used to detect fatigue, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent merges steering wheel activity monitoring with eye tracking and steering adjustments detection. While steering wheel activity alone provides easy operation, combining it with eye tracking data from the camera system and steering adjustment data from the vehicle controller significantly enhances measurement precision through multi-source data fusion.
Solution Approach 2:
The system continuously monitors steering wheel activity and compares it against baseline patterns stored in the central computer. When deviations from normal steering patterns are detected, the system generates feedback signals that trigger further analysis using eye tracking data, thereby maintaining ease of operation while improving fatigue detection precision through adaptive feedback mechanisms.
3Reliability
If multiple detection methods are integrated, then reliability of fatigue detection is improved, but device complexity increases
Solution Approach 1:
The patent integrates multiple detection methods (eye tracking, steering adjustments, steering wheel activity, vehicle speed monitoring) into a single centralized system. The central computer receives data from all sources and processes them together to generate a unified fatigue score, improving reliability through multi-source validation while managing complexity through centralized architecture rather than distributed systems.
Solution Approach 2:
The central computer acts as an intermediary that receives data from multiple detection sources (camera system, vehicle controller, steering wheel sensors) and processes them into a unified fatigue assessment. This intermediary approach allows reliable integration of multiple methods without requiring direct complex interconnections between all detection components.
4Productivity
If real-time fatigue monitoring is implemented, then productivity is improved through timely interventions, but use of energy increases
Solution Approach 1:
The system implements continuous real-time monitoring of driver fatigue indicators without interruption. The camera system continuously tracks eye position and movements, while the central computer continuously processes data from all sensors. This continuous operation enables timely fatigue detection and intervention, improving productivity by preventing fatigue-related accidents and maintaining optimal driver performance throughout operation.
Solution Approach 2:
The patent replaces energy-intensive mechanical monitoring systems with electronic and optical detection methods. Instead of using mechanical sensors that require significant power for continuous operation, the system uses a camera-based eye tracking system and electronic data processing, which consume less energy while providing continuous real-time fatigue monitoring capability.
Data Source
AI summary
A system for determining a vehicle operator's level of fatigue comprises a camera for detecting at least the vehicle operator's eyes; an onboard vehicle detector for detecting at least one of vehicle speed, location, activity, acceleration, deceleration, or steering wheel rotation; and a processor which receives information detected by the camera and the onboard vehicle detector and calculates a real-time operator fatigue score based on the received data. The operator fatigue score may further be based on an operator's time of shift, type of vehicle, and current and previous tasks.