SYSTEM, METHOD, AND PROGRAM FOR ESTIMATING SUBJECTIVE EVALUATION BY ESTIMATION SUBJECT

    公开(公告)号:US20230229977A1

    公开(公告)日:2023-07-20

    申请号:US17928750

    申请日:2021-12-27

    CPC classification number: G06N20/20 A61B5/483 A61B5/377

    Abstract: Provided is a system for estimating a subjective evaluation by an estimation subject. This system for estimating a subjective evaluation by an estimation subject comprises: a reception means that receives feature data of a biosignal acquired from the estimation subject; a storage means that stores a plurality of feature templates extracted from a plurality of biosignals acquired from a plurality of subjects to be modeled including a first subject to be modeled and a second subject to be modeled, or that stores a plurality of models trained using said feature templates; and an estimation means that estimates a subjective evaluation by the estimation subject on the basis of the feature data and the plurality of feature templates or the plurality of models.

    SYSTEM, METHOD, AND PROGRAM FOR AUGMENTING TRAINING DATA USED FOR MACHINE LEARNING

    公开(公告)号:US20220207425A1

    公开(公告)日:2022-06-30

    申请号:US17606343

    申请日:2020-04-26

    Abstract: The problem to be solved is to provide a system and the like for augmenting supervisory data while maintaining the relationship among a plurality supervisory data used for machine learning. The present disclosure provides a system for augmenting supervisory data used for machine learning, the system including an obtaining means that obtains a plurality of supervisory data, a first processing means that derives a covariance matrix from the plurality of supervisory data, a second processing means that decomposes the covariance matrix, and a third processing means that applies a random number to the decomposed matrix.

    Discernment of comfort/discomfort

    公开(公告)号:US11690547B2

    公开(公告)日:2023-07-04

    申请号:US16634310

    申请日:2018-07-27

    Abstract: The computer implemented method makes it possible to discern, for a variety of sensations, whether a sensation is a pleasant (comfortable) sensation or a sensation of discomfort. A classifier is generated for discerning the stress or comfort/discomfort of a subject. The method comprising: a) imparting, to a subject, different stimuli under the same environment, and obtaining brain wave data or analysis data thereof for the environment; b) correlating a reaction of the subject relating to the stimulation and the difference of the brain wave data or analysis data thereof obtained under the environment; c) generating a classifier for discerning the stress or comfort/discomfort of the subject, on the basis of the correlation; and d) performing comfort/discomfort discernment using a basic step for amplifying a sample from a small stimulation.

    DISCERNMENT OF COMFORT/DISCOMFORT
    5.
    发明申请

    公开(公告)号:US20200178888A1

    公开(公告)日:2020-06-11

    申请号:US16634310

    申请日:2018-07-27

    Abstract: The present invention provides discernment technology that makes it possible to discern, for a variety of sensations, whether a sensation is a pleasant (comfortable) sensation or a sensation of discomfort. The present invention provides a method for generating a means for discerning the stress or comfort/discomfort of a subject, the method comprising: a) imparting, to a subject, an identical stimulation under at least two environments, and obtaining brain wave data or analysis data thereof for each environment; b) correlating a reaction of the subject relating to the stimulation and the difference of the brain wave data or analysis data thereof obtained under the at least two environments; c) generating a comfort/discomfort discernment means for discerning the stress or comfort/discomfort of the subject, on the basis of the correlation; and d) performing comfort/discomfort discernment using a basic step for amplifying a sample from a small stimulation.

    REFERENCE STIMULUS
    6.
    发明申请

    公开(公告)号:US20220211324A1

    公开(公告)日:2022-07-07

    申请号:US17606404

    申请日:2020-04-24

    Abstract: Provided is a method for building a model for identifying a reaction of an organism, the method comprising: acquiring a reaction data from an organism, including: acquiring a first reaction data on the organism being in the first state and stimulation is applied to the organism; acquiring a second reaction data on the organism being in the first state and no stimulation is applied to the organism; acquiring a third reaction data on the organism being in the second state and stimulation is applied to the organism; and acquiring a fourth reaction data on the organism being in the second state and no stimulation is applied to the organism; and building a model unique to the organism for identifying the reaction of the organism, based on the acquired first to fourth reaction data.

    PAIN CLASSIFICATION AND MOMENTARY-PAIN DETERMINATION USING SPARSE MODELING

    公开(公告)号:US20200253545A1

    公开(公告)日:2020-08-13

    申请号:US16630650

    申请日:2018-07-13

    Abstract: A method is described for making determinations on or classifying the pain of an estimation subject on the basis of the brainwaves of the estimation subject. This method includes: (a) stimulating the estimation subject at a plurality of levels of stimulation intensity; (b) acquiring brainwave data for the estimation subject; (c) extracting a brainwave feature quantity from the brainwave data or the analysis data; (d) for plugging the feature quantity into a Sparse model analysis, making the feature quantity approach a quantitative level and/or a qualitative level for pain, and estimating or making a determination on a pain level. Another method is described including comparing of brainwave data or analysis data from the 2,000 msec following the earliest of an induced brainwave component, an initial-event-related voltage component, and 250 msec after a target stimulus has been applied.

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