Mobile Device Driver Attention Detection via Screen and Sensor Segmentation
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Solution Overview
Problem
Current methods lack effective solutions for tracking and evaluating driver inattention caused by mobile device usage during driving, which is a significant concern for safety.
Innovation Solution
The use of mobile devices to detect device usage through screen state monitoring and sensor data analysis, classifying movements as indicative of device usage or non-usage, and generating indicators to assess driver attention levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If screen state monitoring and sensor data analysis are used to detect device usage, then measurement precision of driver attention is improved, but device complexity increases
Solution Approach 1:
The system segments the detection process into two independent modules: screen state monitoring (determining if the device screen is on or off) and sensor data analysis (detecting device movements and orientations). This segmentation allows each module to be optimized independently, improving overall measurement precision while managing complexity through modular design.
Solution Approach 2:
The system uses universal mobile device components (screen state APIs and existing sensors) that serve multiple purposes. The screen state monitoring works both independently and in conjunction with sensor data, while sensors serve both device usage detection and other standard device functions, reducing the need for additional specialized hardware.
2Reliability
If real-time monitoring of device usage is implemented, then driver inattention detection is improved, but loss of energy increases
Solution Approach 1:
The system implements periodic monitoring instead of continuous monitoring, checking screen state and sensor data at predetermined time intervals. This periodic action maintains reliable detection of driver inattention while significantly reducing power consumption compared to continuous real-time monitoring.
Solution Approach 2:
The system maintains continuous detection capability through periodic sampling, ensuring that driver inattention is reliably detected without requiring continuous power-intensive operations. The useful action of monitoring continues effectively through regular intervals, balancing reliability with energy efficiency.
Data Source
AI summary
Embodiments of the present invention utilize mobile devices to provide information on a user's behaviors during transportation. For example, a mobile device carried by a user can be used to detect and analyze driving behavior. Important driving behaviors that can be identified by some embodiments are device usage behavior and device interaction behavior, which is indicative of distraction or inattentiveness to one or more driving tasks.