Arousal Level Prediction Using Biometric and Environment Signals
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Solution Overview
Problem
Existing systems for predicting arousal levels in users, such as drivers, often require strong stimuli to counteract decreased arousal, which can be disruptive and unsafe, especially when the user is driving.
Innovation Solution
A method and apparatus that predict future arousal levels by combining current biological information from sensors like heart rate and respiratory rate with environmental data, allowing for mild interventions, such as adjusting temperature or lighting, to prevent arousal decreases without disrupting the user's activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If strong stimuli are used to counteract decreased arousal levels, then the arousal level can be restored, but the user experiences disruption and safety risks especially when driving
Solution Approach 1:
The system performs preliminary action by predicting future arousal levels before they actually decrease. It calculates predicted arousal levels based on current biological information and environmental data, then issues notifications in advance when arousal is expected to drop below thresholds, allowing users to take preventive measures without experiencing disruption from strong stimuli
Solution Approach 2:
The system applies preliminary anti-action by counteracting the natural decrease in arousal level before it becomes problematic. Through predictive modeling that considers environmental factors like temperature and lighting, the system issues advance warnings that prevent the harmful effect of arousal depletion, thereby eliminating the need for strong corrective stimuli
2Measurement precision
If current arousal level monitoring is used, then the system can detect present drowsiness, but it cannot predict future arousal decreases in advance
Solution Approach 1:
The system performs preliminary action by predicting future arousal levels before they actually decrease. It calculates predicted arousal levels based on current biological information and environmental data, then issues notifications in advance when arousal is expected to drop below thresholds, allowing users to take preventive measures without experiencing disruption from strong stimuli
Solution Approach 2:
The system implements feedback by continuously monitoring biological information (heart rate, respiratory rate) and environmental data, then using this feedback to update and refine arousal level predictions. This closed-loop feedback mechanism improves measurement precision over time and enables more accurate timing of preventive notifications
Data Source
AI summary
An arousal level prediction apparatus and method are disclosed. The arousal level prediction apparatus obtains first biological information indicating current biological information of the user, obtains first environment information indicating a current environment around the user, and obtains living information of the user indicating an activity history of the user. The arousal level predication apparatus includes a process that calculates a first arousal level indicating a current arousal level of the user based on the first biological information, predicts a second arousal level, which is an arousal level of the user at a certain period of time later, based on the first arousal level, the first environment information and the living information, and outputs the second arousal level.