Abstract: There is provided an information processing apparatus including an eardrum recognition unit configured to recognize a position of an eardrum based on image information regarding the eardrum, a temperature measurement unit configured to acquire a temperature within an external ear canal including the eardrum, and a temperature processing unit configured to determine a temperature of the eardrum based on a recognition result of the eardrum recognition unit and a measured temperature of the temperature measurement unit.

Abstract: There is provided an information processing apparatus including a processor which executes a function of acquiring activity information indicating at least an activity of a subject, the activity information being inputted by an inputter, a function of generating support information supporting the activity of the subject on the basis of the activity information, and a function of controlling an output of the support information to the inputter or an observer who is different from the subject and the inputter on the basis of the support information or the activity information.

Abstract: There is provided an information processing apparatus according to an embodiment of the present invention including a history information obtaining unit and a reference value determining unit. The history information obtaining unit obtains history information about predetermined operation. The history information includes identification information and time information at which a predetermined operation is performed by/on a classification subject. The identification information and the time information are associated with each other. The reference value determining unit calculates operation number information based on the obtained history information. The operation number information includes the number of operations performed by/on the single classification subject. The operation number information further includes the number of classification subjects having the same number of operations. The number of operations and the number of classification subjects are associated with each other.

Abstract: There is provided a biological rhythm disturbance degree calculating device, including a physiological index time series data acquiring unit which acquires time series data of a physiological index calculated from a biomedical signal of a subject, a calculation period deciding unit which decides a calculation period which is a time length corresponding to substantially a half of a cycle with which daily-life physiological index time series data calculated from the biomedical signal measured in daily life fluctuates, a calculating unit which calculates, during the calculation period, a phase shift amount between inspected physiological index time series data calculated from the biomedical signal measured during an inspection and the daily-life physiological index time series data, and a disturbance degree deciding unit which decides a disturbance degree of a biological rhythm during the inspection of the subject based on the phase shift amount.

Abstract: Provided is a distance detecting apparatus including a detecting unit that is inserted in an external auditory canal and includes a light emitting unit that emits light onto an eardrum and a plurality of light receiving units that each receive the light emitted from the light emitting unit and reflected by a light cone of the eardrum, and a distance estimating unit configured to estimate a distance from a target inserted in the external auditory canal together with the detecting unit to the eardrum based on light intensity and distribution detected by each of the light receiving units.

Abstract: Provided is an estimation device for a jet lag symptom, including an acquiring unit acquiring an estimation criterion set in a manner that each of feature quantities of a physiological index of a core body temperature system and a physiological index of an activity system is classified according to the severity of the jet lag symptom, and a feature quantity range is specified according to a classification of the severity of the jet lag symptom, an extracting unit extracting the feature quantities of the physiological index of the core body temperature system and the physiological index of the activity system on a subject, and an estimating unit determining which feature quantity range of the estimation criterion includes a feature quantity of a physiological index of the subject, and estimates a jet lag symptom of the subject.

Abstract: There is provided an information processing apparatus including an eardrum recognition unit configured to recognize a position of an eardrum based on image information regarding the eardrum, a temperature measurement unit configured to acquire a temperature within an external ear canal including the eardrum, and a temperature processing unit configured to determine a temperature of the eardrum based on a recognition result of the eardrum recognition unit and a measured temperature of the temperature measurement unit.

Abstract: Provided is a biorhythm estimation device including a reference rhythm curve storage unit configured to store a reference rhythm curve that is created as a biorhythm curve representing a property of intra-day fluctuation of an indicator value of biological information based on experimental subject samples, a biological information measurement unit configured to noninvasively measure the biological information of an experimental subject, an indicator value calculation unit configured to calculate the indicator value from a measurement value of the biological information, an experimental-subject rhythm curve creation unit configured to fit the reference rhythm curve to the indicator value of the experimental subject to create an experimental-subject rhythm curve whose target is the experimental subject, an experimental-subject rhythm curve storage unit configured to store the experimental-subject rhythm curve, and a biorhythm estimation unit configured to apply the indicator value to the experimental-subject rh

Abstract: A gene assaying method includes the steps of: acquiring two or more data which should be compared and represents expression levels of a plurality of target genes; converting the expression levels represented by the acquired two or more data into ratios based on the expression level of one of the two or more data; extracting a minimum ratio and a maximum ratio of each target gene; and classifying the plurality of target genes using as a classification border at least one of a first ratio with the peak in a frequency distribution of the minimum ratios and a second ratio with the peak in a frequency distribution of reciprocals of the maximum ratios.

Abstract: There is provided an in-ear information acquiring apparatus including: an information acquiring unit that is inserted in the ernal auditory canal and acquires information inside the ear; and a fixing mechanism that fixes the information acquiring unit inside the ernal auditory canal, wherein the fixing mechanism includes: a rod portion having a plurality of support portions, which are erected toward a wall surface of the ernal auditory canal, provided on an outer side surface thereof around an outer circumference thereof at at least one location along the ernal auditory canal; and an adjusting portion adjusting an erect state of the support portions provided on the rod portion.

Abstract: An auricle-installed apparatus, including: a device configured to be installable to a user's ear and have an electric conversion function; and a main body including a supporting portion configured to support the device, and a first curved portion and a second curved portion that are configured to be installable to a user's auricle, the first curved portion and the second curved portion having a first state configured to maintain a first curved shape and a second state configured to maintain a second curved shape different from the first curved shape.

Abstract: A gene classifying method is provided and includes acquiring expression levels of a plurality of genes at a plurality of observation points, generating a binary string by taking a positive or negative difference in expression level in a temporal passage direction of the observation points for each gene, and classifying the genes on the basis of all plus and minus patterns that the binary strings can have and the generated binary strings.

Abstract: A gene expression level analyzing method includes the steps of: acquiring expression levels of a plurality of target genes in a target cell every measurement time; extracting a maximum expression level and a minimum expression level from the expression levels of the target genes every measurement time; calculating a correlation coefficient of a frequency distribution of the gene having the maximum expression level at each measurement time and a frequency distribution of the gene having the minimum expression level at each measurement time; and comparing the correlation coefficient with a threshold value of the correlation coefficient.

Abstract: Provided is an information processing device including a parameter setting unit that sets a parameter to be used for calculating a given statistic based on event occurrence time information related to a time when a certain event occurred, a period dividing unit that divides a calculation period for which the given statistic is calculated into a plurality of unit periods based on a base unit time set by the parameter setting unit, a count unit that counts a number of occurrences of the certain event for each of the plurality of unit periods based on the event occurrence time information, and a statistic calculation unit that calculates a statistic indicating a pattern of occurrences of the certain event by using a count result of the count unit.

Abstract: There is provided an information processing apparatus according to an embodiment of the present invention including a history information obtaining unit and a reference value determining unit. The history information obtaining unit obtains history information about predetermined operation. The history information includes identification information and time information at which a predetermined operation is performed by/on a classification subject. The identification information and the time information are associated with each other. The reference value determining unit calculates operation number information based on the obtained history information. The operation number information includes the number of operations performed by/on the single classification subject. The operation number information further includes the number of classification subjects having the same number of operations. The number of operations and the number of classification subjects are associated with each other.

Abstract: A gene classifying method is provided and includes acquiring expression levels of a plurality of genes at a plurality of observation points, generating a binary string by taking a positive or negative difference in expression level in a temporal passage direction of the observation points for each gene, and classifying the genes on the basis of all plus and minus patterns that the binary strings can have and the generated binary strings.

Abstract: A gene assaying method includes the steps of: acquiring two or more data which should be compared and represents expression levels of a plurality of target genes; converting the expression levels represented by the acquired two or more data into ratios based on the expression level of one of the two or more data; extracting a minimum ratio and a maximum ratio of each target gene; and classifying the plurality of target genes using as a classification border at least one of a first ratio with the peak in a frequency distribution of the minimum ratios and a second ratio with the peak in a frequency distribution of reciprocals of the maximum ratios.

Abstract: A gene expression level analyzing method includes the steps of: acquiring expression levels of a plurality of target genes in a target cell every measurement time; extracting a maximum expression level and a minimum expression level from the expression levels of the target genes every measurement time; calculating a correlation coefficient of a frequency distribution of the gene having the maximum expression level at each measurement time and a frequency distribution of the gene having the minimum expression level at each measurement time; and comparing the correlation coefficient with a threshold value of the correlation coefficient.