Abstract: A motion analysis system analyzing a prescribed motion performed by a person using a prescribed tool, with a prescribed portion of the person or portion of the tool in the motion being taken as a measurement portion, a predictive model generated by learning based on learning data including an image frame of a motion video, wherein the person performing the motion, and an inter-frame differential frame indicating a difference in pixel values between frames of each pixel of the image and an adjacent frames, which is adjacent to the image frame, in the motion video; generates an inter-frame differential frame of a given analysis object video; and predicts by using the predictive model a position of the measurement portion in an image frame of the analysis object video on the basis of the image frame of the analysis object video and the inter-frame differential frame of the analysis object video.

Abstract: A model variable candidate generation device generating explanatory variable candidates to be used as candidates for an explanatory variable in generation of a prediction model includes: a data input unit inputting analysis data each entry having one or more items and the items having item values; a first item determination unit preliminarily setting properties of the items included in the analysis data as first item properties; a data property determination unit determining data properties being of the analysis data on the basis of the first item properties; a second item determination unit determining properties of the items included in the analysis data as second item properties on the basis of the data properties of the analysis data; and a variable candidate generation unit generating the explanatory variable candidates by selecting from the items or processing the items on the basis of the second item properties.

Abstract: A motion analysis system analyzing a prescribed motion performed by a person using a prescribed tool, with a prescribed portion of the person or portion of the tool in the motion being taken as a measurement portion, a predictive model generated by learning based on learning data including an image frame of a motion video, wherein the person performing the motion, and an inter-frame differential frame indicating a difference in pixel values between frames of each pixel of the image and an adjacent frames, which is adjacent to the image frame, in the motion video; generates an inter-frame differential frame of a given analysis object video; and predicts by using the predictive model a position of the measurement portion in an image frame of the analysis object video on the basis of the image frame of the analysis object video and the inter-frame differential frame of the analysis object video.

Abstract: A model variable candidate generation device generating explanatory variable candidates to be used as candidates for an explanatory variable in generation of a prediction model includes: a data input unit inputting analysis data each entry having one or more items and the items having item values; a first item determination unit preliminarily setting properties of the items included in the analysis data as first item properties; a data property determination unit determining data properties being of the analysis data on the basis of the first item properties; a second item determination unit determining properties of the items included in the analysis data as second item properties on the basis of the data properties of the analysis data; and a variable candidate generation unit generating the explanatory variable candidates by selecting from the items or processing the items on the basis of the second item properties.

Abstract: Technique is provided that enables detection of changes in the condition of a power generation system that generates fluctuating power outputs even in a normal condition thereof. A power generation system management apparatus has: range information management means for managing a condition determination power output range corresponding to a range in which a power output at a predetermined measurement point of the power generation system is to be included with a predetermined probability or higher, the condition determination power output range being determined based on a standard deviation of a plurality of model construction power output values, which is calculated using a representative value of the power output at the measurement point and the model construction power output values, the representative value being calculated from a pseudo system model that is created with a non-parametric method using the plurality of model construction power output values.

Abstract: Technique is provided that enables detection of changes in the condition of a power generation system that generates fluctuating power outputs even in a normal condition thereof. A power generation system management apparatus has: range information management means for managing a condition determination power output range corresponding to a range in which a power output at a predetermined measurement point of the power generation system is to be included with a predetermined probability or higher, the condition determination power output range being determined based on a standard deviation of a plurality of model construction power output values, which is calculated using a representative value of the power output at the measurement point and the model construction power output values, the representative value being calculated from a pseudo system model that is created with a non-parametric method using the plurality of model construction power output values.