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 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 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: 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 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 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: An autonomous mobile apparatus includes a driving unit, a memory including a map memory, and a processor. The processor is configured to estimate an apparatus location based on information from the driving unit and estimate the apparatus location based on information from other than the driving unit. The processor is configured to acquire a location of an object around the autonomous mobile apparatus, create an environment map based on the estimated apparatus location and the acquired object location, and store the environment map in the map memory. The processor is configured to use, at a time of tracking when the estimation of the apparatus location based on the information from other than the driving unit is enabled, the environment map that is in the map memory at a time of reference determined by a time of loss when the estimation of the apparatus location is not enabled.

Abstract: An autonomous movement device includes an obstacle detector, a map creator, an obstacle canceller, and a router. The obstacle detector detects an obstacle. The map creator records information about the obstacle detected by the obstacle detector on an environment map. The obstacle canceller cancels the information about the obstacle recorded by the map creator from the environment map. The router sets a moving route based on the information recorded on the environment map.

Abstract: Edges of layers are detected from an input image to create a boundary line candidate image that represents the detected edges. A luminance value of the input image is differentiated to create a luminance value-differentiated image that represents luminance gradient of the layers. An evaluation score image is created which is obtained by weighting calculation at an optimum ratio between a boundary line position probability image and the luminance value-differentiated image. The boundary line position probability image is obtained from the boundary line candidate image and an existence probability image that represents existence of a boundary line to be extracted. A route having the highest total evaluation score is extracted as the boundary line. According to such an image processing apparatus and image processing method, boundary lines of layers can be extracted with a high degree of accuracy from a captured image of a target object composed of a plurality of layers.

Abstract: The movement direction-and-speed determiner of an autonomous movement device determines the direction and speed for an autonomous movement based on information on the plurality of picked-up images by an image picker. A feature point obtainer obtains a feature point from the picked-up image by the image picker. A map memory stores the position of the obtained feature point by the feature point obtainer. A corresponding feature-point number obtainer obtains the number of correspondences between the obtained feature point by the feature point obtainer and the feature point having the position stored in the map memory. When the obtained number of corresponding feature points by the corresponding feature-point number obtainer is equal to or smaller than a threshold, in order to increase the number of corresponding feature points, a moving direction-and-speed changer changes the moving direction and speed to those determined by the movement direction-and-speed determiner.

Abstract: An autonomous mobile apparatus includes a driving unit, a memory including a map memory, and a processor. The processor is configured to estimate an apparatus location based on information from the driving unit and estimate the apparatus location based on information from other than the driving unit. The processor is configured to acquire a location of an object around the autonomous mobile apparatus, create an environment map based on the estimated apparatus location and the acquired object location, and store the environment map in the map memory. The processor is configured to use, at a time of tracking when the estimation of the apparatus location based on the information from other than the driving unit is enabled, the environment map that is in the map memory at a time of reference determined by a time of loss when the estimation of the apparatus location is not enabled.

Abstract: An autonomous movement device includes an obstacle detector, a map creator, an obstacle canceller, and a router. The obstacle detector detects an obstacle. The map creator records information about the obstacle detected by the obstacle detector on an environment map. The obstacle canceller cancels the information about the obstacle recorded by the map creator from the environment map. The router sets a moving route based on the information recorded on the environment map.

Abstract: The image processing apparatus includes a boundary line extraction means that extracts a boundary line of a layer from an input image obtained by capturing an image of a target object composed of a plurality of layers. The boundary line extraction means is configured to first extract boundary lines at upper and lower ends of the target object, limit a search range using the extracted boundary lines at the upper and lower ends to extract another boundary line, limit the search range using an extraction result of the other boundary line to extract still another boundary line, and then sequentially repeat similar processes to extract subsequent boundary lines.

Abstract: Edges of layers are detected from an input image to create a boundary line candidate image that represents the detected edges. A luminance value of the input image is differentiated to create a luminance value-differentiated image that represents luminance gradient of the layers. An evaluation score image is created which is obtained by weighting calculation at an optimum ratio between a boundary line position probability image and the luminance value-differentiated image. The boundary line position probability image is obtained from the boundary line candidate image and an existence probability image that represents existence of a boundary line to be extracted. A route having the highest total evaluation score is extracted as the boundary line. According to such an image processing apparatus and image processing method, boundary lines of layers can be extracted with a high degree of accuracy from a captured image of a target object composed of a plurality of layers.

Abstract: The movement direction-and-speed determiner of an autonomous movement device determines the direction and speed for an autonomous movement based on information on the plurality of picked-up images by an image picker. A feature point obtainer obtains a feature point from the picked-up image by the image picker. A map memory stores the position of the obtained feature point by the feature point obtainer. A corresponding feature-point number obtainer obtains the number of correspondences between the obtained feature point by the feature point obtainer and the feature point having the position stored in the map memory. When the obtained number of corresponding feature points by the corresponding feature-point number obtainer is equal to or smaller than a threshold, in order to increase the number of corresponding feature points, a moving direction-and-speed changer changes the moving direction and speed to those determined by the movement direction-and-speed determiner.

Abstract: An image correction apparatus for correcting distortion of an image, the image being obtained by photographing a subject, which is provided with a specifying unit for specifying a relationship in position between points on the subject in a three-dimensional space based on both a relationship in position between the points on the subject in the image in a two-dimensional space and a photographing angle relative to a surface of the subject, an obtaining unit for obtaining information of distortion of the image that is reflected by the relationship in position between the points on the subject in the three-dimensional space, specified by the specifying unit, and a correcting unit for correcting the distortion of the image based on the information of distortion of the image obtained by the obtaining unit.