PREDICTIVE CLASSIFICATION IN ACTION SPORTS
First Claim
1. 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.
3 Assignments
0 Petitions
Accused Products
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.
14 Citations
21 Claims
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1. A system for predictive action assessment in action sports, the system comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. 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:
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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. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A method for predictive action assessment in action sports, the method comprising:
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identifying 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; extracting action performance features from the data stream subsequent to the start point; comparing, in real time, the action performance features to a set of statistical models; selecting a label for the action based on the comparison; generating a likelihood of success for the action based on the comparison; and outputting the label for the action and the likelihood of success for display on a display device. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification