PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUS
EEG to be measured on a scalp is estimated based on EEG measured from an ear canal. The program causes a processor included in an information processing apparatus to execute: acquiring first EEG information that is measured by a first bio-electrode that comes into contact with an ear canal of a predetermined user; acquiring second EEG information that is measured by a brain activity measuring instrument with respect to the predetermined user at the same timing as the first EEG information; learning a relationship between a first feature of the first EEG information and a second feature of the second EEG information; and generating a learning model that has learned the relationship.
1 . An information processing method to be executed by a processor included in an information processing apparatus, the method comprising:
acquiring first EEG information that is measured by a first bio-electrode that comes into contact with an ear canal of a predetermined user;
acquiring second EEG information that is measured by a brain activity measuring instrument with respect to the predetermined user at the same timing as the first EEG information;
learning a relationship between a first feature of the first EEG information and a second feature of the second EEG information; and
generating a learning model that has learned the relationship.
2 . The information processing method according to claim 1 , further comprising:
estimating fourth EEG information corresponding to the second EEG information using third EEG information measured by the first bio-electrode and the learning model.
3 . The information processing method to claim 2 , further comprising
estimating brain activity information regarding the predetermined user, based on the fourth EEG information.
4 . The information processing method according to claim 1 ,
wherein the learning includes setting the first EEG information to a predictor and the second EEG information to an objective variable, and performing Sparse modeling.
5 . The information processing method according to claim 4 ,
wherein the objective variable is represented by information of Na (number of measurement positions of the brain activity measuring instrument)×Da (dimension of specific frequencies), and the predictor is represented by information of Nb (number of measurement positions of the first bio-electrode)×Db (dimension of specific frequencies).
6 . A non-transitory storage medium storing a program which, when executed by a processor included in an information processing apparatus, cause the processor to perform the following:
acquiring first EEG information that is measured by a first bio-electrode that comes into contact with an ear canal of a predetermined user;
acquiring second EEG information that is measured by a brain activity measuring instrument with respect to the predetermined user at the same timing as the first EEG information;
learning a relationship between a first feature of the first EEG information and a second feature of the second EEG information; and
generating a learning model that has learned the relationship.
7 . An information processing apparatus including a processor,
the processor executing a program to perform the following:
acquiring first EEG information that is measured by a first bio-electrode that comes into contact with an ear canal of a predetermined user;
acquiring second EEG information that is measured by a brain activity measuring instrument with respect to the predetermined user at the same timing as the first EEG information;
learning a relationship between a first feature of the first EEG information and a second feature of the second EEG information; and
generating a learning model that has learned the relationship.
8 . The information processing method according to claim 1 , further comprising:
estimating other EEG information from the acquired EEG information by using the, learning model, the other EEG information corresponding to the second EEG information;
estimating brain activity information regarding the user, based on the other EEG information;
specifying a command, based on the brain activity information; and
executing processing corresponding to the command.
9 . The information method according to claim 8 ,
wherein the acquiring includes acquiring myoelectricity information based on information measured by the first bio-electrode, and
the specifying includes specifying the command, based further on the myoelectricity information.
10 . The non-transitory storage medium according to claim 6 , wherein the program further causes the processor to execute the following:
estimating other EEG information from the acquired EEG information by using the the other EEG information corresponding to the second EEG information;
estimating brain activity information regarding the user, based on the other EEG information;
specifying a command, based on the brain activity information; and
executing processing corresponding to the command.
11 . The information processing apparatus according to claim 7 ,
the processor further executing the following:
estimating other EEG information from the acquired EEG information by using the learning model, the other EEG information corresponding to the second EEG information;
estimating brain activity information regarding the user, based on the other EEG information;
specifying a command, based on the brain activity information; and
executing processing corresponding to the command.
12 . (canceled)