Abstract:
A flow control method executed by a computer, includes: extracting, from a plurality of subjects, one or more first subjects each satisfying a first condition, the one or more first subjects being extracted based on a result of assignment of the plurality of subjects to a node based on a workflow that includes the node connected to a conditional branch by a directed edge; determining an insertion point of a new conditional branch in the workflow, based on distribution of the extracted first subjects in the workflow; inserting a second condition, as the new conditional branch, at the insertion point, the second condition separating, at a lower node that is lower than the determined insertion point, the one or more first subjects from a subject not satisfying the first condition among the plurality of subjects; and inserting a new node at a branch destination of the new conditional branch.
Abstract:
A computer-implemented method of performing planning processing, the method including: acquiring information of a menu of a predetermined service and information of a stakeholder related to the service; calculating a change frequency of execution of the menu for a combination of the stakeholder and the menu; specifying a menu to be recommended on the basis of the calculated change frequency; and outputting the specified menu to the stakeholder of the calculated combination.
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.
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; 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 subject person specifying apparatus includes a processor, and a memory storing a program causing the processor to perform acquiring characteristic quantities of variations of heart rate related to a meal of a subject person from heart rate data of the subject person as a target of an individual specifying process, calculating a distribution range of history values of the characteristic quantities associated with a plurality of candidates, and extracting the candidate corresponding to the subject person from within the plurality of candidates, based on a relation between the characteristic quantities acquired from the subject person and the distribution range of the history values of the characteristic quantities.
Abstract:
A subject person specifying apparatus includes a processor, and a memory storing a program causing the processor to perform acquiring characteristic quantities of variations of heart rate related to a meal of a subject person from heart rate data of the subject person as a target of an individual specifying process, calculating a distribution range of history values of the characteristic quantities associated with a plurality of candidates, and extracting the candidate corresponding to the subject person from within the plurality of candidates, based on a relation between the characteristic quantities acquired from the subject person and the distribution range of the history values of the characteristic quantities.