Abstract: A high accuracy information extracting device construction system includes: a feature quantity extraction expression list generating unit for generating a feature quantity extraction expression list; a feature quantity calculating unit for calculating feature quantities of teacher data by means of respective feature quantity extracting expressions; a teacher data supply unit for supplying teacher data; an evaluation value calculating unit for generating information extracting expressions by means of machine learning on the basis of the calculated feature quantities of teacher data and the teacher data, and calculating evaluation values for the respective feature quantity extracting expressions; and a synthesis unit for constructing a high accuracy information extracting device using T weak information extracting parts F(X)t output from the evaluation value calculating unit 15 and confidence levels Ct corresponding thereto.

Abstract: Provided is a pain estimating device with which it is possible to estimate objectively and accurately pain being experienced by a subject. A pain estimating device 110 estimates the magnitude of pain being experienced by a subject, on the basis of brainwaves of the subject, and is provided with: a measurement unit 111 which acquires a plurality of items of brainwave data or analysis data thereof by measuring brainwaves from the subject a plurality of times; and an estimation unit 112 which estimates the relative magnitude of the pain being experienced when the brainwave measurements were conducted a plurality of times, from the plurality of items of brainwave data or the analysis data thereof (for example the amplitude), on the basis of the linearity of a relationship between the brainwave data or the analysis data thereof (for example the amplitude) and the pain.

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.

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.

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.

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.

Abstract: A high accuracy information extracting device construction system includes: a feature quantity extraction expression list generating unit for generating a feature quantity extraction expression list; a feature quantity calculating unit for calculating feature quantities of teacher data by means of respective feature quantity extracting expressions; a teacher data supply unit for supplying teacher data; an evaluation value calculating unit for generating information extracting expressions by means of machine learning on the basis of the calculated feature quantities of teacher data and the teacher data, and calculating evaluation values for the respective feature quantity extracting expressions; and a synthesis unit for constructing a high accuracy information extracting device using T weak information extracting parts F(X)t output from the evaluation value calculating unit 15 and confidence levels Ct corresponding thereto.

Abstract: This pain measurement device for measuring pain experienced by a subject is provided with a determination unit for determining a reference stimulation intensity corresponding to reference pain of the subject, on the basis of a relationship between pain levels reported by the subject and stimulation intensities applied to the subject, and a measurement unit which compares electroencephalographic data measured from the subject and reference electroencephalographic data corresponding to the reference stimulation intensity to measure pain experienced by the subject when the electroencephalographic data is measured.

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.

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.

Abstract: The objective of the present invention is to provide a technique which enables analysis to be performed in real-time without taking a control or the like, by performing wavelet transformation at the same time, without pre-processing of a signal. The present invention provides a pain estimating method and device with which pain of an estimation target can be objectively and accurately estimated, and with which the quality and quantity thereof can be classified simply. The present invention provides a method for processing a signal of a target in response to a stimulus, and includes: a) a step of obtaining from the target a signal in response to a stimulus; (b) a step of subjecting the signal to cross correlation processing using part or all of the signal; and (c) a step of calculating a feature quantity of the signal and a coefficient correlated to the stimulus from the processing results obtained in b).

Abstract: Provided is a pain estimating device with which it is possible to estimate objectively and accurately pain being experienced by a subject. A pain estimating device 110 estimates the magnitude of pain being experienced by a subject, on the basis of brainwaves of the subject, and is provided with: a measurement unit 111 which acquires a plurality of items of brainwave data or analysis data thereof by measuring brainwaves from the subject a plurality of times; and an estimation unit 112 which estimates the relative magnitude of the pain being experienced when the brainwave measurements were conducted a plurality of times, from the plurality of items of brainwave data or the analysis data thereof (for example the amplitude), on the basis of the linearity of a relationship between the brainwave data or the analysis data thereof (for example the amplitude) and the pain.

Abstract: Provided is a pain estimating device with which it is possible to estimate objectively and accurately pain being experienced by a subject. A pain estimating device 110 estimates the magnitude of pain being experienced by a subject, on the basis of brainwaves of the subject, and is provided with: a measurement unit 111 which acquires a plurality of items of brainwave data or analysis data thereof by measuring brainwaves from the subject a plurality of times; and an estimation unit 112 which estimates the relative magnitude of the pain being experienced when the brainwave measurements were conducted a plurality of times, from the plurality of items of brainwave data or the analysis data thereof (for example the amplitude), on the basis of the linearity of a relationship between the brainwave data or the analysis data thereof (for example the amplitude) and the pain.

Abstract: This pain measurement device (10) for measuring pain experienced by a subject (99) is provided with a determination unit (12) for determining a reference stimulation intensity corresponding to reference pain of the subject (99), on the basis of a relationship between pain levels reported by the subject (99) and stimulation intensities applied to the subject (99), and a measurement unit (13) which compares electroencephalographic data measured from the subject (99) and reference electroencephalographic data corresponding to the reference stimulation intensity to measure pain experienced by the subject (99) when the electroencephalographic data is measured.