Abstract: An event prediction system according to an aspect includes an acquisition unit and a symptom detection unit. The acquisition unit acquires body movement data about a subject's body movement from a measuring device that outputs the body movement data. The symptom detection unit makes, based on a subset, acquired during a past reference period, of the body movement data, a decision about whether or not there are any symptoms of an onset of a particular event related to the subject.

Abstract: Disclosed herein is a sensor processing system including an acquisition unit, a time series analysis unit, and a decision unit. The acquisition unit acquires measurement data from a measuring unit. The measuring unit measures a physical quantity, of which a value varies depending on whether a human is present in, or absent from, an object space. The time series analysis unit obtains an analysis model for a time series analysis in which the measurement data acquired at a predetermined timing is represented by multiple items, acquired before the predetermined timing, of the measurement data. The decision unit decides, depending on a decision condition including a condition concerning a coefficient of the analysis model, whether the human is present or absent at the predetermined timing.

Abstract: An event prediction system according to an aspect includes an acquisition unit and a symptom detection unit. The acquisition unit acquires body movement data about a subject's body movement from a measuring device that outputs the body movement data. The symptom detection unit makes, based on a subset, acquired during a past reference period, of the body movement data, a decision about whether or not there are any symptoms of an onset of a particular event related to the subject.

Abstract: Disclosed herein is a sensor processing system including an acquisition unit, a time series analysis unit, and a decision unit. The acquisition unit acquires measurement data from a measuring unit. The measuring unit measures a physical quantity, of which a value varies depending on whether a human is present in, or absent from, an object space. The time series analysis unit obtains an analysis model for a time series analysis in which the measurement data acquired at a predetermined timing is represented by multiple items, acquired before the predetermined timing, of the measurement data. The decision unit decides, depending on a decision condition including a condition concerning a coefficient of the analysis model, whether the human is present or absent at the predetermined timing.