Abstract:
An information processing system includes: an information acquisition unit that acquires patient information indicating a state of a patient who has visited a first institution or who has been examined by a person associated with the first institution; a determination unit that determines whether or not the patient information satisfies at least one of predetermined determination conditions; and a processing control unit that, when the patient information satisfies at least one of the determination conditions, performs a process for matching a second institution included in setting-origin institutions associated with the satisfied determination condition with the patient. Each of the predetermined determination conditions is a condition for determining whether a suspicion of a predetermined disease is correct or not, and is associated with a setting-origin institution that has set that determination condition.
Abstract:
An information processing device 1X mainly includes an acquisition means 15X, an estimation means 16X, and a determination means 17X. The acquisition means 15X acquires task evaluation information relating to evaluation of execution of a task executed by a subject. The estimation means 16X estimates a state of the subject in execution of the task. The determination means 17X determines a mode of an approach to the subject based on the task evaluation information and the state of the subject.
Abstract:
A body fluid volume estimation device includes a pre-training unit, a transfer learning unit, and an estimation unit. The pre-training unit performs pre-training by using, as supervised information, information indicating body fluid volumes of the multiple patients when face images of multiple patients are captured. The transfer learning unit further performs transfer learning on multiple face images of one specific patient after the pre-training, and constructs a trained model. The estimation unit estimates, by inputting a face image of the one specific patient to the trained model, a body fluid volume at a point in time at which the face image of the one specific patient is captured. By estimating a body fluid volume from a face image by machine learning, the body fluid volume can be used for assistance such as decision making of a user.
Abstract:
The stress estimation device acquires the awakening degree of the subject and calculates the feature amount of the acquired awakening degree. The feature amount of the awakening degree is, for example, a ratio at which the temporal change of the awakening degree is within a predetermined range, information defining a histogram showing the distribution of the temporal change of the awakening degree, and the like. Then, the stress estimation device estimates the stress from the calculated feature amount using the stress model.
Abstract:
This conversation analysis device comprises: a change detection unit that detects, for each of a plurality of conversation participants, each of a plurality of prescribed change patterns for emotional states, on the basis of data corresponding to voices in a target conversation; an identification unit that identifies, from among the plurality of prescribed change patterns detected by the change detection unit, a beginning combination and an ending combination, which are prescribed combinations of the prescribed change patterns that satisfy prescribed position conditions between the plurality of conversation participants; and an interval determination unit that determines specific emotional intervals, which have a start time and an end time and represent specific emotions of the conversation participants of the target conversation, by determining a start time and an end time on the basis of each time position in the target conversation pertaining to the starting combination and ending combination identified by the identification unit.
Abstract:
An estimation apparatus (30) includes a first estimation unit (31) configured to estimate a first pulse rate from a first video data which is captured a body part and output a first feature data derived based on the first video data; a training unit (32) configured to train a determination model to determine a confidence value which indicates an reliability in the estimation of the first pulse rate and a physiological information measured from the body; an acquiring unit (33) configured to acquire a second feature data derived by the first estimation unit, and acquire the confidence value of the second pulse rate using the second feature data and the determination model trained by the training unit; and a second estimation unit (34) configured to estimate a third pulse rate based on the acquired confidence value.
Abstract:
A stress estimation apparatus 1 acquires a biosignal of a measurement subject, which includes acceleration information of an action of at least one part of the measurement subject. A moving average is calculated from the acceleration information included in the acquired biosignal, and a threshold of an activity state of the measurement subject is calculated from the calculated moving average. Then, an activity state in a specific period is identified from the calculated moving average and the calculated threshold. Per-activity state data is generated by categorizing chronological data pieces of the acquired biosignal other than the acceleration information by identified activity state, and stress is estimated from the generated per-activity state data.
Abstract:
Provided an area-specific environment management system, which manages an environment in an individual one of a plurality of areas, the system including: a biological information sensor that acquires biological information about at least one of an individual and a group who belongs to an individual one of the areas; an environmental information sensor that acquires environmental information about an individual one of the areas; an arousal level estimation section that estimates an arousal level with respect to the biological information by using an arousal level estimation model; and an environment provision section that provides an environment to an individual one of the areas based on the arousal level and the environmental information, wherein the arousal level includes, as a state to which the arousal level belongs, a state from sleepy until awakened; a wakeful state; and an excessively wakeful state, and wherein the environment provision section includes an individual control mode corresponding to a state to which the arousal level belongs and manages an environment to be provided to an individual one of the areas based on the control mode.
Abstract:
An information processing device 1X mainly includes an acquisition means 15X, an estimation means 16X, and a determination means 17X. The acquisition means 15X acquires task evaluation information relating to evaluation of execution of a task executed by a subject. The estimation means 16X estimates a state of the subject in execution of the task. The determination means 17X determines a mode of an approach to the subject based on the task evaluation information and the state of the subject.
Abstract:
In the biological information acquisition device, the spatiotemporal information generation means generates spatiotemporal information by accumulating information relating to a region of interest extracted from a plurality of time-series images included in a biological video obtained by shooting a skin of a subject for a predetermined period. The extraction means extracts AC components and DC components from the spatiotemporal information. The estimation means estimates blood oxygen saturation of the subject in the predetermined period, based on the AC components and the DC components. This device can be used to support user's decision making and the like.