Abstract: A meal detection method executed by a processor of a computer, the meal detection method includes acquiring first sensing data from a first sensor configured to detect a motion of an arm of a target person; acquiring second sensing data from a second sensor configured to detect a heart rate of the target person; calculating a first evaluation value indicating likelihood that a meal is being performed based on a first feature amount extracted from the first sensing data; calculating a second evaluation value indicating likelihood that the meal is performed based on a second feature amount extracted from the second sensing data; and determining whether the target person has eaten the meal or not, based on the first evaluation value and the second evaluation value.

Abstract: A meal detection method executed by a processor of a computer, the meal detection method includes acquiring first sensing data from a first sensor configured to detect a motion of an arm of a target person; acquiring second sensing data from a second sensor configured to detect a heart rate of the target person; setting a motion section in which a specific motion by the arm of the target person is executed at least twice or more based on the first sensing data; and determining whether a meal is performed in a section including at least a portion of the motion section, based on the second sensing data corresponding to the motion section and learning information corresponding to a unit motion of the specific motion at a time of the meal.

Abstract: A pulse wave analysis apparatus including a memory, and a processor coupled to the memory and the processor configured to execute a process, the process including extracting, from each of a plurality of captured images of a subject, a plurality of image areas corresponding to each of a plurality of parts of the subject respectively, generating pieces of waveform data corresponding to the plurality of parts based on an image analysis for the plurality of image areas, each of the pieces of waveform data indicating a pulse wave of the subject, calculating a first matching degree between the pieces of waveform data, and determining whether a noise is included in the pieces of waveform data based on the first matching degree.

Abstract: A meal intake detection device includes: a memory; and a processor coupled to the memory and configured to: detect a rise of heart rate; extract as a meal intake candidate a time range from a detected rise to time when the heart rate decreases to a predetermined value in temporal changes in heart rate, and when a second meal intake candidate is extracted in a time range of an extracted first meal intake candidate, separate the first meal intake candidate and the second meal intake candidate along a predetermined line; and detect whether each of the first meal intake candidate and the second meal intake candidate is a meal intake based on feature quantities relating to the first meal intake candidate and the second meal intake candidate that are separated.

Abstract: An information processing device including: a processor configured to: obtain external times that are measured at different time points in another device, measure of the information processing device in response to obtaining each of external times, and correct a first external time that is obtained in a first time period of a plurality of sequential time periods based on a rate of a change in the internal times from a second external time to a third external time, the second external time being an external time at which a time difference between a corrected time of an external time and an internal time is minimum in the second time period, the third external time being an external time at which a time difference between a corrected time of an external time and an internal time is minimum in the third time period.

Abstract: A meal detection method executed by a processor of a computer, the meal detection method includes acquiring first sensing data from a first sensor configured to detect a motion of an arm of a target person; acquiring second sensing data from a second sensor configured to detect a heart rate of the target person; setting a motion section in which a specific motion by the arm of the target person is executed at least twice or more based on the first sensing data; and determining whether a meal is performed in a section including at least a portion of the motion section, based on the second sensing data corresponding to the motion section and learning information corresponding to a unit motion of the specific motion at a time of the meal.

Abstract: A meal detection method executed by a processor of a computer, the meal detection method includes acquiring first sensing data from a first sensor configured to detect a motion of an arm of a target person; acquiring second sensing data from a second sensor configured to detect a heart rate of the target person; calculating a first evaluation value indicating likelihood that a meal is being performed based on a first feature amount extracted from the first sensing data; calculating a second evaluation value indicating likelihood that the meal is performed based on a second feature amount extracted from the second sensing data; and determining whether the target person has eaten the meal or not, based on the first evaluation value and the second evaluation value.

Abstract: A pulse wave analysis apparatus including a memory, and a processor coupled to the memory and the processor configured to execute a process, the process including extracting, from each of a plurality of captured images of a subject, a plurality of image areas corresponding to each of a plurality of parts of the subject respectively, generating pieces of waveform data corresponding to the plurality of parts based on an image analysis for the plurality of image areas, each of the pieces of waveform data indicating a pulse wave of the subject, calculating a first matching degree between the pieces of waveform data, and determining whether a noise is included in the pieces of waveform data based on the first matching degree.

Abstract: An information processing apparatus including a processor configured to execute a process including obtaining pieces of waveform data corresponding to a plurality of parts of a subject, the pieces of waveform data indicating a pulse wave of the subject, calculating a first index value indicating a matching degree between the pieces of waveform data, calculating a second index value indicating a matching degree between a plurality of partial waveform data for each of the pieces of waveform data, the plurality of partial waveforms data being generated by dividing each of the pieces of waveform data at predetermined time intervals, determining whether the pieces of waveform data indicates an arrhythmia based on the first index value and the second index value, and outputting information indicating a result of the determining.

Abstract: An information processing apparatus includes a memory, and a processor coupled to the memory and configured to obtain time series data indicating a time-dependent change of a biological signal value after a meal, determine, based on the obtained time series data, a first feature amount of the time-dependent change of the biological signal value after the meal, determine, based on the determined first feature amount, an index value related to the meal, and output the determined index value.

Abstract: A behavior sensing device includes: a processor configured to: acquire sensor data from one or more sensors; calculate a first characteristic amount serving as an index of characteristic of biological reaction to a behavior to be sensed from the sensor data; calculate a probability of occurrence of the behavior as a first behavior occurrence probability from the first characteristic amount; calculate a second characteristic amount serving as another index of characteristic of a habit relating to the behavior to be sensed from the sensor data; calculate another probability of occurrence of the behavior as a second behavior occurrence probability from the second characteristic amount; and determine whether specific behavior is performed based on the first behavior occurrence probability and the second behavior occurrence probability.

Abstract: A meal intake detection device includes: a memory; and a processor coupled to the memory and configured to: detect a rise of heart rate; extract as a meal intake candidate a time range from a detected rise to time when the heart rate decreases to a predetermined value in temporal changes in heart rate, and when a second meal intake candidate is extracted in a time range of an extracted first meal intake candidate, separate the first meal intake candidate and the second meal intake candidate along a predetermined line; and detect whether each of the first meal intake candidate and the second meal intake candidate is a meal intake based on feature quantities relating to the first meal intake candidate and the second meal intake candidate that are separated.

Abstract: An information processing apparatus includes a memory, and a processor coupled to the memory and configured to acquire time series data of heart rate over a plurality of days, specify a first time zone of a day in which an increasing change of the heart rate satisfies a first condition in common with the time series data on the plurality of days, specify the increasing change in a second time zone of the day for each of the time series data on the plurality of days, the second time zone overlapped with at least a part of the first time zone, specify a meal time based on the increasing of the second time zone for each of the time series data, and output the specified meal time.

Abstract: An information processing method executed by a processor included in an information processing apparatus coupled to a sensor, the method includes acquiring information on a living body from the sensor; estimating, by using estimation models, indices other than one unknown index among three indices including an index being related to a feature of a change with time of a biological response signal value derived from a meal after completion of the meal, an index regarding energy consumed by the living body in a time period, and an index regarding a change in an amount of energy stored in the living body in the time period, based on the acquired information; estimating the one unknown index based on a relation satisfied by the three indices and a result of the estimating indices; and generating at least one of model parameters of the estimation models based on the estimated three indices.

Abstract: A pulse wave detection apparatus detects a signal, and calculates a correlation coefficient between waveforms of the signal included in a first window and a second window having a predetermined duration, the correlation coefficient being smaller when a difference between dispersion of the amplitude value in the first window and dispersion of the amplitude value in the second window becomes larger.

Abstract: An information processing device configured to communicate with a plurality of mobile terminals, the information processing device includes a memory and a processor coupled to the memory and configured to acquire, from the plurality of mobile terminals, information related to movements of the plurality of mobile terminals, identify, based on the information, movement patterns of the plurality of mobile terminals, identify, based on the movement patterns, a queue including at least two mobile terminals of the plurality of mobile terminals, identify, based on the information of the mobile terminals included in the queue, a waiting time that elapses before a first mobile terminal that is one of the plurality of mobile terminals and that is included in the queue reaches a head of the queue, and output the identified waiting time.

Abstract: A state detection method includes: storing first information obtained from a first sensor and second information obtained from a second sensor in a predetermined segment in a storage, by a processor; specifying a behavior segment indicating a segment in which a subject performs a specific behavior and a non-behavior segment indicating a segment in which the subject does not perform the specific behavior using the second information stored in the storage, by the processor; determining a feature amount to be used for detecting a specific state of the subject using respective values of a plurality of feature amounts included in the first information stored in the storage in each of the behavior segment and the non-behavior segment and determining a threshold value for the determined feature amount, by the processor; and detecting the specific state of the subject from the information obtained from the first sensor, by the processor.

Abstract: An information processing device including: a processor configured to: obtain external times that are measured at different time points in another device, measure of the information processing device in response to obtaining each of external times, and correct a first external time that is obtained in a first time period of a plurality of sequential time periods based on a rate of a change in the internal times from a second external time to a third external time, the second external time being an external time at which a time difference between a corrected time of an external time and an internal time is minimum in the second time period, the third external time being an external time at which a time difference between a corrected time of an external time and an internal time is minimum in the third time period.

Abstract: An information processing device configured to communicate with a plurality of mobile terminals, the information processing device includes a memory and a processor coupled to the memory and configured to acquire, from the plurality of mobile terminals, information related to movements of the plurality of mobile terminals, identify, based on the information, movement patterns of the plurality of mobile terminals, identify, based on the movement patterns, a queue including at least two mobile terminals of the plurality of mobile terminals, identify, based on the information of the mobile terminals included in the queue, a waiting time that elapses before a first mobile terminal that is one of the plurality of mobile terminals and that is included in the queue reaches a head of the queue, and output the identified waiting time.

Abstract: A specifying method includes specifying a first period for which it is determined that a specific movement or a specific posture is being performed by applying a first threshold to time series data obtained from a sensor for detecting a movement of a person, specifying a second period for which it is determined that the specific movement or the specific posture is being performed by applying a second threshold to the time series data, the second threshold being eased compared to the first threshold, specifying a transitional period based on a difference between the second period and the first period, the transitional period corresponding to one of a period of a transition to the specific movement or the specific posture, and another period of another transition from the specific movement or the specific posture to another movement or another posture and outputting a result.