US 2018/0005129 A1 · PREDICTIVE CLASSIFICATION IN ACTION SPORTS

Abstract

Systems and techniques for predictive classification in action sports are described herein. A start point for an action may be identified in a data stream including a plurality of data sets corresponding to the action. The data stream may be collected from a sensor array. Action performance features may be extracted from the data stream subsequent to the start point. The action performance features may be compared in real-time to a set of statistical models. A label may be selected for the action based on the comparison. A likelihood of success may be generated for the action based on the comparison. The label for the action and the likelihood of success may be output for display on a display device.

Claims21

Dependent claims

A system for predictive action assessment in action sports, the system comprising:

one or more processors;
a memory including instructions that, when executed by the one or more processors, cause the one or more processors to perform operations to:
identify a start point for an action in a data stream including a plurality of data sets corresponding to the action, the data stream collected from a sensor array;
extract action performance features from the data stream subsequent to the start point;
compare, in real time, the action performance features to a set of statistical models;
select a label for the action based on the comparison;
generate a likelihood of success for the action based on the comparison;
and
output the label for the action and the likelihood of success for display on a display device.

6 more elements

At least one computer readable medium including instructions for predictive action assessment in action sports that, when executed by a machine, cause the machine to perform operations to:

identify a start point for an action in a data stream including a plurality of data sets corresponding to the action, the data stream collected from a sensor array;
extract action performance features from the data stream subsequent to the start point;
compare, in real time, the action performance features to a set of statistical models;
select a label for the action based on the comparison;
generate a likelihood of success for the action based on the comparison;
and
output the label for the action and the likelihood of success for display on a display device.

4 more elements

Dependencies are inferred from the claim text.

Predictive classification in action sports

Life of this patent

Predictive classification in action sports

Life of this patent

Abstract

Claims21