Wearable Device Drowsy Driving Detection Power Management
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Solution Overview
Problem
Conventional drowsy driving detection methods face challenges in acquiring biological signals from drivers, particularly on long, monotonous routes where drowsiness is a significant concern, due to the inconvenience of mounting sensors on the driver's body.
Innovation Solution
A wearable device that communicates with a vehicle to detect biological information using sensors, switching between power save and normal modes to determine drowsiness and output notifications, and a vehicle system that communicates with the wearable device to alert drivers of potential drowsiness based on steering wheel activity and navigation data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors are mounted on the driver's body to detect biological signals for drowsiness detection, then drowsy driving detection capability is improved, but user convenience and ease of operation deteriorates
Solution Approach 1:
The patent uses a wearable device that copies or replicates the function of body-mounted sensors by detecting biological signals through a wearable form factor (such as a smartwatch or fitness tracker). This allows the system to obtain biological information (heart rate, temperature, etc.) without requiring direct mounting on the driver's body, thus maintaining detection capability while improving user convenience and acceptability.
2Reliability
If the wearable device continuously monitors biological information using all sensors, then drowsy driving detection accuracy is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic sensor management where the controller selectively activates sensors based on driving conditions and detected states. During normal driving, only basic movement detection is performed. When drowsiness is suspected or during critical driving phases, additional biological sensors are activated to enhance detection accuracy. This dynamic approach maintains high detection reliability when needed while minimizing overall power consumption.
Solution Approach 2:
The system performs periodic monitoring with varying intensity levels. Instead of continuous full-sensor operation, the device periodically checks basic parameters and only activates comprehensive sensor suites when anomalies are detected or during predetermined critical periods (e.g., after long driving durations). This periodic action pattern sustains detection accuracy while significantly reducing average power consumption.
3Measurement precision
If the wearable device operates in normal mode with all sensors activated, then detection precision is improved, but power consumption increases
Solution Approach 1:
The patent divides sensor operation into segmented modes: power save mode with limited sensor activation and normal mode with full sensor activation. The controller segments the monitoring task into basic movement detection (always active) and detailed biological monitoring (conditionally active). This segmentation allows the system to maintain essential detection functions with low power consumption while preserving the capability to achieve high detection precision when transitioning to normal mode based on driving conditions or detected anomalies.
Data Source
AI summary
A wearable device includes a communicator for performing a communication with a vehicle, a detector for detecting a user's biological information, and a controller for performing a power save mode when vehicle speed information is received via the communicator, for converting the power save mode into a normal mode when first determination information of drowsy driving is received via the communicator during the power save mode, and for secondly determining whether current driving is a drowsy driving based on the detected biological information during the normal mode.