Abstract: A bioinformation acquiring apparatus includes at least one processor and a memory configured to store a program to be executed in the processor.

Abstract: A bioinformation acquiring apparatus includes at least one processor; and a memory configured to store a program to be executed in the processor. The processor acquires bioinformation in a chronological order; derives outlier level parameters, the outlier level parameter indicating a level of inclusion of outliers of the bioinformation in pieces of bioinformation acquired within a first duration; derives correction terms based on the bioinformation after removal of the outliers of the bioinformation from pieces of bioinformation acquired within a second duration that is longer than the first duration; selects one or both of a first correction procedure and a second correction procedure based on the outlier level parameters, as a correction procedure, the first correction procedure using the correction terms, the second correction procedure involving interpolation irrelevant to the correction terms; and corrects the outliers of the bioinformation within the first duration by the selected correction procedure.

Abstract: A CAP detection device configured to acquire pulse wave data of a subject, derive a baseline of the data and an envelope of the baseline, identify a local maximum point of the envelope and determine, as CAP candidate points, a first local maximum point of the baseline before the local maximum point of the envelope and a second local maximum point of the baseline after the local maximum point, and identify, for each CAP candidate point, a third local maximum point of the baseline before the CAP candidate point and a local minimum point of the baseline between the CAP candidate point and the third local maximum point and detect the CAP candidate point as a CAP based on an evaluation value obtained from a difference between the CAP candidate point and the third local maximum point and a difference between the CAP candidate point and the local minimum point.

Abstract: A temperature estimation apparatus includes: a first temperature sensor that measures first temperature of first part of a target that has a heat source; a second temperature sensor that measures second temperature of second part that is farther from the heat source than the first part; and a processor. The processor obtains temperature-for-estimation data regarding the first and second temperatures that are measured in a state where a predetermined condition is satisfied, the predetermined condition corresponding to a certain state of change in the temperature of the heat source. Based on the obtained temperature-for-estimation data, the processor obtains a single thermal resistance parameter in a thermal model. Based on the obtained thermal resistance parameter and the measured first and second temperatures, the processor estimates the temperature of the heat source as a deep-body temperature of the target.

Abstract: A sleep stage estimation device includes a subject data acquisition unit that acquires pulsation data and body movement data of a subject, a sleep stage probability estimation unit that acquires a feature quantity sequence from the pulsation data and estimates a sleep stage probability sequence of the subject from the acquired feature quantity sequence by using a learned sleep stage probability estimation model, a sleep stage transition probability estimation unit that acquires a body movement amount sequence from the body movement data and estimates a sleep stage transition probability sequence of the subject from the acquired body movement amount sequence by using a learned sleep stage transition probability estimation model, and a sleep stage estimation unit that estimates a sleep stage sequence of the subject from the sleep stage probability sequence and the sleep stage transition probability sequence by using a learned conditional random field model.

Abstract: A more endearing robot includes an operation unit that causes the robot to operate, a viewing direction determiner that determines whether a viewing direction of a predetermined target is toward the robot or not, and an operation controller that controls the operation unit based on a result of determination by the viewing direction determiner.

Abstract: A cyclic alternative pattern (CAP) detection device includes a memory storing a program, and at least one processor configured to execute the program stored in the memory, in which the processor is configured to: acquire pulse wave data of a subject; derive a baseline of the pulse wave data and an envelope of the baseline; identify a local maximum point of the envelope and determine, as CAP candidate points each indicating a cyclic alternative pattern, a first local maximum point of the baseline before the local maximum point of the envelope and a second local maximum point of the baseline after the local maximum point of the envelope on a time axis; and identify, for each of the identified CAP candidate points, a third local maximum point of the baseline before the CAP candidate point and a local minimum point of the baseline between the CAP candidate point and the third local maximum point and detect the CAP candidate point as a CAP based on an evaluation value obtained from a difference between the CAP can

Abstract: A bioinformation acquiring apparatus includes at least one processor; and a memory configured to store a program to be executed in the processor. The processor acquires bioinformation in a chronological order; derives outlier level parameters, the outlier level parameter indicating a level of inclusion of outliers of the bioinformation in pieces of bioinformation acquired within a first duration; derives correction terms based on the bioinformation after removal of the outliers of the bioinformation from pieces of bioinformation acquired within a second duration that is longer than the first duration; selects one or both of a first correction procedure and a second correction procedure based on the outlier level parameters, as a correction procedure, the first correction procedure using the correction terms, the second correction procedure involving interpolation irrelevant to the correction terms; and corrects the outliers of the bioinformation within the first duration by the selected correction procedure.

Abstract: A bioinformation acquiring apparatus includes at least one processor and a memory configured to store a program to be executed in the processor.

Abstract: An aspect of the disclosure relates to a training device including a memory storing a program, and at least one processor configured to execute the program stored in the memory, in which the processor is configured to acquire pulse wave data to which biological reaction information is imparted, extract a local maximum point of a baseline or a local minimum point of a baseline derived from the pulse wave data as an identification reference point and set a correct answer label for the identification reference point based on the biological reaction information, set an analysis window for the extracted identification reference point and determine a feature vector of the identification reference point in the analysis window, and train a discriminator that identifies a cyclic alternating pattern (CAP) indicating a periodic brain wave activity by training data including the feature vector and the correct answer label.

Abstract: A state estimation apparatus includes: at least one processor; and a memory configured to store a program executable by the at least one processor; wherein the at least one processor is configured to: acquire a biological signal of a subject, in a certain period in which the biological signal is being acquired, set as a plurality of extraction time windows a plurality of time windows having mutually different time lengths, extract a feature value of the biological signal in each of the plurality time windows, and estimate a state of the subject based on the extracted feature value.

Abstract: An acceleration acquirer of a controller of an in-bed and out-of-bed determination device acquires, in a time series, acceleration of a subject from a sensor that is an acceleration sensor attached by the subject, a body motion determiner determines, based on the acquired acceleration, whether there is a body motion of the subject at each time, an evaluator evaluates a distribution of the acceleration at a time at which it is determined that there is not a body motion, an estimator estimates a body axis of the subject based on the evaluated distribution of the acceleration, and an in-bed and out-of-bed determiner determines at least one of in bed and out of bed of the subject based on the estimated body axis of the subject that is estimated by the estimator.

Abstract: The present invention is to reduce the time required to detect an object after completion of the rotation of a head or a body of a robot. A robot 100 includes a camera 111, and a control unit 127 which determines an overlapping area between a first image captured with the camera 111 at first timing and a second image captured with the camera 111 at second timing later than the first timing to detect an object included in an area of the second image other than the determined overlapping area.

Abstract: A voice input unit has predetermined directivity for acquiring a voice. A sound source arrival direction estimation unit operating as a first direction detection unit detects a first direction, which is an arrival direction of a signal voice of a predetermined target, from the acquired voice. Moreover, a sound source arrival direction estimation unit operating as a second direction detection unit detects a second direction, which is an arrival direction of a noise voice, from the acquired voice. A sound source separation unit, a sound volume calculation unit, and a detection unit having an S/N ratio calculation unit detect a sound source separation direction or a sound source separation position, based on the first direction and the second direction.

Abstract: A feature extractor extracts feature quantities from a digitized speech signal and outputs the feature quantities to a likelihood calculator. A distance determiner determines the distance between a user providing speech and a speech input unit. The likelihood calculator selects registered expressions for speech recognition from a recognition target table based on the determined distance, to be used in calculation of likelihoods at the likelihood calculator. The likelihood calculator calculates likelihoods for the selected registered expressions based on the feature quantities extracted by the feature extractor, and outputs one of the registered expressions having the maximum likelihood as a result of speech recognition.

Abstract: A robot determines whether a voice is a voice emanated directly from an actual person or is a voice output from a speaker of an electronic device. A controller of a robot detects a voice by means of microphones, determines whether or not a voice generating source of the detected voice is a specific voice generating source, and controls, based on a result of the determination, the robot by means of a neck joint and a chassis.

Abstract: A mobile apparatus according to the present embodiment includes a voice input unit configured to detect a signal from a user. In a case where the voice input unit detects a signal from the user and as a detection result of the signal from the user, it is determined that there is a signal from the user, the mobile apparatus performs sound source localization and specifies a location or direction in which the detected signal from the user is given. In a case where it is determined that the mobile apparatus is not able to move to the location where the signal from the user is given, a voice output unit configured to output a voice signal, a driving unit configured to move the mobile apparatus, and a light emitting unit configured to emit light performs predetermined control.

Abstract: An autonomous mobile apparatus moves based on a predetermined map. The autonomous mobile apparatus comprise a driving unit that is configured to move the autonomous mobile apparatus, and a processor. The processor is configured to acquire presence indices that are indices indicating a possibility of presence of an object at each of different points on the map, select a point for a destination from the points based on the acquired presence indices, set the selected point as the destination, and control the driving unit to cause the autonomous mobile apparatus to move to the set destination.

Abstract: A speech determiner determines whether or not a target individual is speaking when facial images of the target individual are captured. An emotion estimator estimates the emotion of the target individual using the facial images of the target individual, on the basis of the determination results of the speech determiner.

Abstract: A voice input unit has predetermined directivity for acquiring a voice. A sound source arrival direction estimation unit operating as a first direction detection unit detects a first direction, which is an arrival direction of a signal voice of a predetermined target, from the acquired voice. Moreover, a sound source arrival direction estimation unit operating as a second direction detection unit detects a second direction, which is an arrival direction of a noise voice, from the acquired voice. A sound source separation unit, a sound volume calculation unit, and a detection unit having an S/N ratio calculation unit detect a sound source separation direction or a sound source separation position, based on the first direction and the second direction.