Abstract: To provide a driving assistance device with which a brake held state can be automatically or easily set. A driving assistance device includes a controller configured to collect detection results of an operation state of an operation lever and a state of a vehicle, the controller determines whether to set a holder to be held or released based on the operation state of the operation lever and the state of the vehicle, and a switching instruction unit provides an instruction for switching the holder between a held state and a released state in accordance with a result of the determination by the controller.

Abstract: The disclosure provides a vehicle control device and method for controlling a vehicle. The vehicle control device includes a gear shift member, having a parking brake keeping a vehicle in a stationary state, a drive gear keeping driving the vehicle, and a park gear keeping the vehicle in a parked state; a control switch configured to be able to control the parking brake and shift to the park gear; a control member performing following controls when the vehicle is in the parked state: when the control switch is operated for a period of time shorter than a prescribed time, the control member shifts to the park gear and executes linked parking that links an operation of the parking brake, and during the execution of the linked parking, when the control switch is operated for a period of time longer than the prescribed time, the control member releases the parking brake.

Abstract: A vehicle control device and method includes: a gear shift member having a parking brake, a drive gear, and a park gear; a hydraulic brake decelerating the vehicle; a vehicle speed detection member; a control switch, which, when pressed, simultaneously activating the parking brake and the park gear; a control member. When the control member determines the vehicle speed exceeds a first threshold during an operation of the control switch, the vehicle remains in a drive gear state, and the hydraulic brake is activated to decelerate the vehicle; when the control member determines the vehicle speed is lower than the first threshold, the vehicle stays in the drive gear state, and the parking brake is activated. When the vehicle speed changes from the first to a second threshold, the hydraulic brake stops operating, the gear shift member shifts to the park gear, and the parking brake is maintained.

Abstract: The disclosure provides a vehicle control device and method for controlling a vehicle. The vehicle control device includes a gear shift member, having a parking brake keeping a vehicle in a stationary state, a drive gear keeping driving the vehicle, and a park gear keeping the vehicle in a parked state; a control switch configured to be able to control the parking brake and shift to the park gear; a control member performing following controls when the vehicle is in the parked state: when the control switch is operated for a period of time shorter than a prescribed time, the control member shifts to the park gear and executes linked parking that links an operation of the parking brake, and during the execution of the linked parking, when the control switch is operated for a period of time longer than the prescribed time, the control member releases the parking brake.

Abstract: A data generation device configured to generate data in machine learning for making a determination on an object includes an original data displaying unit configured to display, on a displaying unit, first original data on which data augmentation is to be performed, the first original data including the object; a parameter receiver configured to receive an input of a parameter related to the data augmentation; a generated data displaying unit configured to display, on the displaying unit, generated data generated by the data augmentation for something other than the object in the first original data on the basis of the parameter; and an adoptability receiver configured to receive whether or not to adopt the data augmentation based on the parameter. With the above configuration, it is possible to determine the parameter to be finally adopted while confirming the result of data generation based on the parameter designated by the user.

Abstract: When creating a medical questionnaire of a patient, a medical questionnaire creation assist terminal acquires past clinical data of the patient from an EMR server or an EHR server on the basis of medical questionnaire template data, and also acquires PHR data from a mobile information terminal of the patient to create medical questionnaire basic data. Then, the medical questionnaire creation assist terminal creates medical questionnaire completed data by adding medical interview statement information manually input by the patient or medical staff to incomplete items in the medical questionnaire basic data, and notifies a physician terminal of the medical questionnaire completed data.

Abstract: A data generation method for generating data for domain generalization in machine learning includes performing, with a computer, augmentation using training data as raw data usable to train a machine learning model, and extracting, with the computer, a dataset including the raw data and data generated through the augmentation as a dataset for the domain generalization.

Abstract: A data generation method for generating data for domain generalization in machine learning includes performing, with a computer, augmentation using training data as raw data usable to train a machine learning model, and extracting, with the computer, a dataset including the raw data and data generated through the augmentation as a dataset for the domain generalization.

Abstract: Provided is an image determination device. The image determination device is provided with: feature extractors which output, on the basis of an image to be examined, each piece of feature data indicating a specific feature of the image; a determiner which outputs, on the basis of the feature data output from the extractors, output data indicating the determination result pertaining to the image; and a training part which trains the determiner so as to output, output data indicating the label data associated with the training image on the basis of the feature data output when the training image is input to the extractors, wherein the training part further trains, by using new training data, the determiner so that the output data indicating the label data associated with the image is output by the determiner.

Abstract: An image determination device includes feature extractors which output, on the basis of an image to be examined, each piece of feature data indicating a specific feature of the image; a first training part which trains a first determiner so as to output first output data indicating first label data associated with a first training image on the basis of first feature data output when the first training image is input to the feature extractors; a second training part which trains a second determiner so as to output second output data indicating second label data associated with a second training image on the basis of second feature data output when the second training image is input to the feature extractors; and an output part which outputs, on the basis of the first output data and the second output data, output data indicating an overall determination result about an image.

Abstract: An image determination device includes: a training model which outputs, on the basis of an image to be examined, output data indicating a determination result about the image; a training part which trains the training model to output, by using training data including a training image and label data, output data indicating the label data associated with the training image, when the training image is input to the training model; a dividing part which divides the training data into a plurality of pieces of sub-training data; a measurement part which measures accuracy of determination when the training part trains the training model by using each of the plurality of pieces of sub-training data; and selection part which selects at least any one among the plurality of pieces of sub-training data on the basis of the accuracy of determination.

Abstract: An image determination device includes: a training model which outputs, on the basis of an image to be examined, output data indicating a determination result about the image; a training part which trains the training model to output, by using training data including a training image and label data, output data indicating the label data associated with the training image, when the training image is input to the training model; a dividing part which divides the training data into a plurality of pieces of sub-training data; a measurement part which measures accuracy of determination when the training part trains the training model by using each of the plurality of pieces of sub-training data; and selection part which selects at least any one among the plurality of pieces of sub-training data on the basis of the accuracy of determination.

Abstract: A biological information analyzing device includes: an indicator extraction unit that extracts an indicator pertaining to a characteristic of a blood pressure waveform using data of the blood pressure waveform obtained by a sensor, which is worn on a user's body and can non-invasively measure the blood pressure waveform for each of heartbeats, continuously measuring the blood pressure waveform; and a processing unit that carries out a process based on the extracted indicator.

Abstract: A vital information measuring apparatus according to an aspect of the present invention is a vital information measuring apparatus for measuring vital information by compressing a measurement site of a subject with a cuff, and includes a fluid supply unit configured to supply a fluid to the cuff, and a first fluid supply controller configured to control, when a situation of the subject satisfies a first condition in which measurement of the vital information is recommended, a supply of the fluid to the cuff by the fluid supply unit to compress the measurement site in a first compression mode for informing the subject that the first condition is satisfied.

Abstract: According to a first aspect of the invention, an information processing apparatus includes an information acquisition unit configured to acquire first blood pressure information and second blood pressure information that is information earlier than the first blood pressure information, a blood pressure fluctuation detector configured to detect a blood pressure fluctuation exceeding a first reference value from the first and second blood pressure information, and a fluctuation information output unit configured to output blood pressure fluctuation information that reports the blood pressure fluctuation.

Abstract: A biological information analysis device including: an indicator extraction unit configured to extract an indicator indicating a cardiac state, from data regarding blood pressure waveforms that are consecutively measured by a sensor that is configured to be worn on a body part of a user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat; and a processing unit configured to output the indicator extracted by the indicator extraction unit. The indicator extraction unit is configured to extract a value of a cardiac load indicator for each heartbeat, from the data regarding blood pressure waveforms, and calculate the indicator indicating the cardiac state, based on characteristics related to distribution of values of the cardiac load indicator corresponding to a plurality of heartbeats.

Abstract: A biological information analysis device including: an indicator extraction unit that is configured to extract, from time-series data regarding blood pressure waveforms consecutively measured by a sensor that is configured to be worn on a body part of a user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat, data regarding blood pressure waveforms corresponding to a period of time in which a change in blood pressure occurs, and extract an indicator that is related to the functionality of respiratory organs of the user, based on characteristics of the blood pressure waveforms corresponding to the period of time; and a processing unit that performs processing that is based on the indicator thus extracted.

Abstract: Provided is an image determination device. The image determination device is provided with: feature extractors which output, on the basis of an image to be examined, each piece of feature data indicating a specific feature of the image; a determiner which outputs, on the basis of the feature data output from the extractors, output data indicating the determination result pertaining to the image; and a training part which trains the determiner so as to output, output data indicating the label data associated with the training image on the basis of the feature data output when the training image is input to the extractors, wherein the training part further trains, by using new training data, the determiner so that the output data indicating the label data associated with the image is output by the determiner.

Abstract: An image determination device includes: a training model which outputs, on the basis of an image to be examined, output data indicating a determination result about the image; a training part which trains the training model to output, by using training data including a training image and label data, output data indicating the label data associated with the training image, when the training image is input to the training model; a dividing part which divides the training data into a plurality of pieces of sub-training data; a measurement part which measures accuracy of determination when the training part trains the training model by using each of the plurality of pieces of sub-training data; and selection part which selects at least any one among the plurality of pieces of sub-training data on the basis of the accuracy of determination.

Abstract: An image determination device includes feature extractors which output, on the basis of an image to be examined, each piece of feature data indicating a specific feature of the image; a first training part which trains a first determiner so as to output first output data indicating first label data associated with a first training image on the basis of first feature data output when the first training image is input to the feature extractors; a second training part which trains a second determiner so as to output second output data indicating second label data associated with a second training image on the basis of second feature data output when the second training image is input to the feature extractors; and an output part which outputs, on the basis of the first output data and the second output data, output data indicating an overall determination result about an image.