Drowsiness determination device and drowsiness determination method

A drowsiness determination device comprising:

• processing circuitry configured to
• acquire image data indicating a face image of a driver from a camera that captures a face of the driver;
• estimate an alertness level indicating a degree of alertness of the driver on a basis of the acquired image data;
• acquire waveform information indicating an electrocardiographic waveform of the driver from a sensor that detects an electrocardiographic waveform of the driver;
• calculate a feature amount of a heartbeat of the driver from the electrocardiographic waveform indicated by the acquired waveform information;
• determine presence or absence of drowsiness of the driver on a basis of the estimated alertness level and the calculated feature amount of the heartbeat;
• acquire a plurality of pieces of waveform information at different times of detection by the sensor;
• calculate a normalization coefficient of the feature amount of the heartbeat on a basis of the plurality of pieces of waveform information, normalize the feature amount of the heartbeat using the normalization coefficient, and output the feature amount of the heartbeat after normalization;
• and
• determine the presence or absence of drowsiness of the driver on a basis of the estimated alertness level and the outputted feature amount of the heartbeat after normalization.

A drowsiness determination method comprising:

• acquiring image data indicating a face image of a driver from a camera that captures a face of the driver;
• estimating an alertness level indicating a degree of alertness of the driver on a basis of the acquired image data;
• acquiring waveform information indicating an electrocardiographic waveform of the driver from a sensor that detects an electrocardiographic waveform of the driver;
• calculating a feature amount of a heartbeat of the driver from the electrocardiographic waveform indicated by the acquired waveform information;
• determining presence or absence of drowsiness of the driver on a basis of the estimated alertness level and the calculated feature amount of the heartbeat,
• acquiring a plurality of pieces of waveform information at different times of detection by the sensor;
• calculating a normalization coefficient of the feature amount of the heartbeat on a basis of the plurality of pieces of waveform information, normalizing the feature amount of the heartbeat using the normalization coefficient, and outputting the feature amount of the heartbeat after normalization;
• and
• determining the presence or absence of drowsiness of the driver on a basis of the estimated alertness level and the feature amount of the heartbeat after normalization having been output.