Awakening Support Apparatus Using Vibration and Temperature
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Solution Overview
Problem
Existing techniques for determining driver drowsiness based on physiological information, such as temperature and operation amount, are ineffective in preventing drowsiness from occurring, leading to difficulties in restraining drowsiness in drivers.
Innovation Solution
An awakening support apparatus and method that acquires surroundings information, including temperature and vibration data, to determine a drowsiness inducing level and executes awakening support measures to decrease the possibility of drowsiness induction in drivers, using a combination of temperature and vibration sensors and a processing system to assess and respond to drowsiness risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physiological information such as temperature and operation amount is used to determine drowsiness, then drowsiness detection is possible, but the ability to prevent drowsiness from occurring is insufficient
Solution Approach 1:
The system performs preliminary action by detecting drowsiness risk factors (temperature, vibration, operation amount) before actual drowsiness occurs and executing awakening support measures in advance. The determination unit calculates a drowsiness risk level based on acquired parameters, and the execution unit provides awakening support before the driver actually becomes drowsy, thereby preventing drowsiness occurrence rather than just detecting it after the fact.
2Device complexity
If only temperature and operation amount are monitored, then the monitoring system is simple, but the drowsiness inducing level determination is inaccurate
Solution Approach 1:
The system merges multiple monitoring parameters (temperature, vibration, operation amount) into a unified drowsiness risk level determination. The determination unit integrates these different types of information to calculate a comprehensive drowsiness risk level, providing more accurate assessment than any single parameter could achieve alone, while maintaining relatively simple system architecture through unified processing.
Solution Approach 2:
The system adds the vibration dimension to the traditional temperature and operation amount monitoring. By incorporating vibration parameters from the vibration sensor, the system creates a multi-dimensional assessment of drowsiness risk, improving determination accuracy without significantly increasing system complexity since the vibration data is processed through the same determination unit.
Data Source
AI summary
An awakening support apparatus includes an acquisition portion acquiring surroundings information which indicates information of at least one of a temperature and a vibration around a driver of a movable object, a determination portion determining a drowsiness inducing level of the driver based on the surroundings information acquired by the acquisition portion, and an execution portion executing an awakening support for decreasing a possibility of induction of drowsiness of the driver based on a determination result of the drowsiness inducing level determined by the determination portion.