Awakening level estimation device, awakening level estimation method, awakening level learning device, and awakening level learning method

An awakening level estimation device comprising:

• processing circuitry configured to
• acquire two or more types of occupant state information different from each other, the occupant state information indicating a current state value which is a state value of an occupant of a vehicle;
• to acquire occupant basic state information corresponding to each of the two or more types of occupant state information having been acquired and indicating a basic state value which is the state vale of the occupant when the occupant is in an awakening state;
• acquire difference information indicating a difference between the current state value indicated by the acquired occupant state information and the basic state value indicated by the acquired occupant basic state information and corresponding to the occupant state information, and acquire two or more types of the difference information corresponding to the two or more types of occupant state information having been acquired;
• estimate an awakening level of the occupant on a basis of the two or more types of difference information having been acquired, and input the two or more types of difference information to a learned model corresponding to a leaning result by machine learning, and generating and outputting awakening level information indicating the awakening level on a basis of an estimation result output from the leaned model;
• and
• acquire, as the occupant basic state information, information indicating a statistical value of the current state value indicated by the acquired occupant state information in a period from start of new traveling of the vehicle until a predetermined period elapses.

An awakening level estimation device, comprising:

• processing circuitry configured to
• acquire two or more types of occupant state information different from each other, the occupant state information indicating a current state value which is a state value of an occupant of a vehicle;
• acquire occupant basic state information corresponding to each of the two or more types of occupant state information having been acquired and indicating a basic state value which is the state vale of the occupant when the occupant is in an awakening state;
• acquire difference information indicating a difference between the current state value indicated by the acquired occupant state information and the basic state value indicated by the acquired occupant basic state information and corresponding to the occupant state information, and acquire two or more types of the difference information corresponding to the two or more types of occupant state information having been acquired;
• and
• estimate an awakening level of the occupant on a basis of the two or more types of difference information having been acquired, and input the two or more types of difference information to a learned model corresponding to a leaning result by machine learning, and generating and outputting awakening level information indicating the awakening level on a basis of an estimation result output from the leaned model;
• and
• identify the occupant and to acquire personal identification information indicating the identified person,
• wherein the processing circuitry acquires the occupant basic state information corresponding to the personal identification information on a basis of the acquired personal identification information, and
• the acquired occupant basic state information is information indicating a statistical value of the current state value indicated by the acquired occupant state information of the occupant indicated by the personal identification information, in a period in which the occupant is in the awakening state out of periods in which the occupant was in the vehicle in the past.

An awakening level estimation method comprising:

• acquiring two or more types of occupant state information different from each other, the occupant state information indicating a current state value which is a state value of an occupant of a vehicle;
• acquiring occupant basic state information corresponding to each of the two or more types of occupant state information acquired by the occupant state acquiring step and indicating a basic state value which is the state vale of the occupant when the occupant is in an awakening state;
• acquiring difference information indicating a difference between the current state value indicated by the occupant state information acquired by the occupant state acquiring step and the basic state value indicated by the occupant basic state information acquired by the occupant basic state acquiring step and corresponding to the occupant state information, in which two or more types of the difference information corresponding to the two or more types of occupant state information acquired by the occupant state acquiring step is acquired;
• estimating an awakening level of the occupant on a basis of the two or more types of difference information acquired by the difference acquiring step, in which the two or more types of difference information are input to a learned model corresponding to a leaning result by machine learning, and awakening level information indicating the awakening level is generated and output on a basis of an estimation result output from the leaned model;
• and
• acquiring, as the occupant basic state information, information indicating a statistical value of the current state value indicated by the occupant state information acquired by the occupant state acquiring step in a period from start of new traveling of the vehicle until a predetermined period elapses.

An awakening level estimation method comprising:

• acquiring two or more types of occupant state information different from each other, the occupant state information indicating a current state value which is a state value of an occupant of a vehicle;
• acquiring occupant basic state information corresponding to each of the two or more types of occupant state information acquired by the occupant state acquiring step and indicating a basic state value which is the state vale of the occupant when the occupant is in an awakening state;
• acquiring difference information indicating a difference between the current state value indicated by the occupant state information acquired by the occupant state acquiring step and the basic state value indicated by the occupant basic state information acquired by the occupant basic state acquiring step and corresponding to the occupant state information, in which two or more types of the difference information corresponding to the two or more types of occupant state information acquired by the occupant state acquiring step is acquired;
• estimating an awakening level of the occupant on a basis of the two or more types of difference information acquired by the difference acquiring step, in which the two or more types of difference information are input to a learned model corresponding to a leaning result by machine learning, and awakening level information indicating the awakening level is generated and output on a basis of an estimation result output from the leaned model;
• identifying the occupant and acquiring personal identification information indicating the identified person;
• and
• acquiring the occupant basic state information corresponding to the personal identification information on a basis of the personal identification information acquired by the occupant identifying step,
• wherein the occupant basic state information acquired by the occupant basic state acquiring step is information indicating a statistical value of the current state value indicated by the occupant state information of the occupant indicated by the personal identification information, acquired by the occupant state acquiring step in a period in which the occupant is in the awakening state out of periods in which the occupant was in the vehicle in the past.

An awakening level learning device comprising:

• processing circuitry configured to
• acquire learning model information indicating a learning model that has not been learned or is being learned;
• acquire teacher data used when the learning model indicated by the acquired learning model information is caused to perform machine learning with supervised learning;
• acquire two or more types of occupant state information different from each other, the occupant state information indicating a current state value which is a state value of an occupant of a vehicle;
• acquire occupant basic state information corresponding to each of the two or more types of occupant state information having been acquired and indicating a basic state value which is the state vale of the occupant when the occupant is in an awakening state;
• acquire difference information indicating a difference between the current state value indicated by the acquired occupant state information and the basic state value indicated by the acquired occupant basic state information and corresponding to the occupant state information, and acquire two or more types of the difference information corresponding to the two or more types of occupant state information having been acquired;
• generate a learned model for outputting information indicating the awakening level of the occupant as an estimation result by inputting, as explanatory variables, the two or more types of difference information having been acquired to the learning model indicated by the acquired learning model information, and causing the learning model to perform machine learning with supervised learning based on the acquired teacher data;
• output the generated learned model as learned model information;
• and
• acquire, as the occupant basic state information, information indicating a statistical value of the current state value indicated by the acquired occupant state information in a period from start of new traveling of the vehicle until a predetermined period elapses.

An awakening level learning device comprising:

• processing circuitry configured to
• acquire learning model information indicating a learning model that has not been learned or is being learned;
• acquire teacher data used when the learning model indicated by the acquired learning model information is caused to perform machine learning with supervised learning;
• acquire two or more types of occupant state information different from each other, the occupant state information indicating a current state value which is a state value of an occupant of a vehicle;
• acquire occupant basic state information corresponding to each of the two or more types of occupant state information having been acquired and indicating a basic state value which is the state vale of the occupant when the occupant is in an awakening state;
• acquire difference information indicating a difference between the current state value indicated by the acquired occupant state information and the basic state value indicated by the acquired occupant basic state information and corresponding to the occupant state information, and acquire two or more types of the difference information corresponding to the two or more types of occupant state information having been acquired;
• generate a learned model for outputting information indicating the awakening level of the occupant as an estimation result by inputting, as explanatory variables, the two or more types of difference information having been acquired to the learning model indicated by the acquired learning model information, and causing the learning model to perform machine learning with supervised learning based on the acquired teacher data;
• output the generated learned model as learned model information;
• and
• identify the occupant and to acquire personal identification information indicating the identified person,
• wherein the processing circuitry acquires the occupant basic state information corresponding to the personal identification information on a basis of the acquired personal identification information, and
• the acquired occupant basic state information is information indicating a statistical value of the current state value indicated by the acquired occupant state information of the occupant indicated by the personal identification information, in a period in which the occupant is in the awakening state out of periods in which the occupant was in the vehicle in the past.

An awakening level learning method comprising:

• acquiring learning model information indicating a learning model that has not been learned or is being learned;
• acquiring teacher data used when the learning model indicated by the learning model information acquired by the learning model acquiring step is caused to perform machine learning with supervised learning;
• acquiring two or more types of occupant state information different from each other, the occupant state information indicating a current state value which is a state value of an occupant of a vehicle;
• acquiring occupant basic state information corresponding to each of the two or more types of occupant state information acquired by the occupant state acquiring step and indicating a basic state value which is the state vale of the occupant when the occupant is in an awakening state;
• acquiring difference information indicating a difference between the current state value indicated by the occupant state information acquired by the occupant state acquiring step and the basic state value indicated by the occupant basic state information acquired by the occupant basic state acquiring step and corresponding to the occupant state information, in which two or more types of the difference information corresponding to the two or more types of occupant state information acquired by the occupant state acquiring step are acquired;
• generating a learned model for outputting information indicating the awakening level of the occupant as an estimation result by inputting, as explanatory variables, the two or more types of difference information acquired by the difference acquiring step to the learning model indicated by the learning model information acquired by the learning model acquiring step, and causing the learning model to perform machine learning with supervised learning based on the teacher data acquired by the teacher data acquiring step;
• outputting the learned model generated by the learning step as learned model information;
• and
• acquiring, as the occupant basic state information, information indicating a statistical value of the current state value indicated by the occupant state information acquired by the occupant state acquiring step in a period from start of new traveling of the vehicle until a predetermined period elapses.

An awakening level learning method comprising:

• acquiring learning model information indicating a learning model that has not been learned or is being learned;
• acquiring teacher data used when the learning model indicated by the learning model information acquired by the learning model acquiring step is caused to perform machine learning with supervised learning;
• acquiring two or more types of occupant state information different from each other, the occupant state information indicating a current state value which is a state value of an occupant of a vehicle;
• acquiring occupant basic state information corresponding to each of the two or more types of occupant state information acquired by the occupant state acquiring step and indicating a basic state value which is the state vale of the occupant when the occupant is in an awakening state;
• acquiring difference information indicating a difference between the current state value indicated by the occupant state information acquired by the occupant state acquiring step and the basic state value indicated by the occupant basic state information acquired by the occupant basic state acquiring step and corresponding to the occupant state information, in which two or more types of the difference information corresponding to the two or more types of occupant state information acquired by the occupant state acquiring step are acquired;
• generating a learned model for outputting information indicating the awakening level of the occupant as an estimation result by inputting, as explanatory variables, the two or more types of difference information acquired by the difference acquiring step to the learning model indicated by the learning model information acquired by the learning model acquiring step, and causing the learning model to perform machine learning with supervised learning based on the teacher data acquired by the teacher data acquiring step;
• outputting the learned model generated by the learning step as learned model information;
• identifying the occupant and acquiring personal identification information indicating the identified person;
• and
• acquiring the occupant basic state information corresponding to the personal identification information on a basis of the personal identification information acquired by the occupant identifying step,
• wherein the occupant basic state information acquired by the occupant basic state acquiring step is information indicating a statistical value of the current state value indicated by the occupant state information of the occupant indicated by the personal identification information, acquired by the occupant state acquiring step in a period in which the occupant is in the awakening state out of periods in which the occupant was in the vehicle in the past.