Vehicle driver sleep state classification generating device based on Hidden Markov Model, sleep state classification device and warning device

摘要

There is provided an arousal state classification model generating device for generating a blink waveform pattern model and an arousal state pattern model based on data on a blink waveform, which are preferably used for accurately estimating an arousal level with respect to unspecified object persons, an arousal state classifying device for classifying the arousal state of an object person, and a warning device. In the arousal state classification model generating device, a first pattern model is generated by learning a statistical model by using as learning data first feature data extracted from the blink data of at least one of the eyes of each object person at the time of blinking and blink waveform identification information. A second pattern model is generated by learning a statistical model by using as learning data second feature data including data on the occurrence ratio of each specific type of blink waveform in the sequence of analysis intervals and arousal state information data in which arousal state information indicating the arousal state of each object person is provided to each sequence of analysis intervals.