METHODS AND APPARATUS TO PREDICT SPORTS INJURIES

    公开(公告)号:US20180107936A1

    公开(公告)日:2018-04-19

    申请号:US15476487

    申请日:2017-03-31

    CPC classification number: G06N7/005 A63B24/0062 G16H20/30 G16H50/20 G16H50/30

    Abstract: A disclosed example method to predict an injury for a target player on a target date includes determining a first probability of injury of the target player based on probabilities of injuries of second players having similarities with the target player; determining a second probability of injury of the target player based on injuries of the target player; determining a third probability of injury of the target player based on the first probability of injury of the target player and the second probability of injury of the target player; and generating, by executing an instruction with the processor, a report of a predicted probability of injury of the target player for the target date based on the third probability of injury of the target player.

    METHODS AND APPARATUS TO PREDICT SPORTS INJURIES

    公开(公告)号:US20220129776A1

    公开(公告)日:2022-04-28

    申请号:US17342197

    申请日:2021-06-08

    Abstract: A disclosed example method to predict an injury for a target player on a target date includes determining a first probability of injury of the target player based on probabilities of injuries of second players having similarities with the target player; determining a second probability of injury of the target player based on injuries of the target player; determining a third probability of injury of the target player based on the first probability of injury of the target player and the second probability of injury of the target player; and generating, by executing an instruction with the processor, a report of a predicted probability of injury of the target player for the target date based on the third probability of injury of the target player.

    Methods and apparatus to predict sports injuries

    公开(公告)号:US11049031B2

    公开(公告)日:2021-06-29

    申请号:US15476487

    申请日:2017-03-31

    Abstract: A disclosed example method to predict an injury for a target player on a target date includes determining a first probability of injury of the target player based on probabilities of injuries of second players having similarities with the target player; determining a second probability of injury of the target player based on injuries of the target player; determining a third probability of injury of the target player based on the first probability of injury of the target player and the second probability of injury of the target player; and generating, by executing an instruction with the processor, a report of a predicted probability of injury of the target player for the target date based on the third probability of injury of the target player.

    RFID location detection
    5.
    发明授权

    公开(公告)号:US10909335B2

    公开(公告)日:2021-02-02

    申请号:US16062105

    申请日:2015-12-22

    Abstract: A set of samples are returned by radio frequency identifier (RFID) reader corresponding to the readings of signals emitted from a particular RFID tag, each sample including a respective set of features identifying values of the attributes of the signals as detected. At least some of the features are provided as inputs to a random forest of decision trees, each providing a prediction that the particular RFID tag is located in one of a plurality of defined zones in a particular environment. From outputs of the plurality of decision trees based on the set of samples, it can be determined that the particular RFID tag is located in a particular one of the plurality of zones at a first instance in time.

    RFID LOCATION DETECTION
    6.
    发明申请

    公开(公告)号:US20180373906A1

    公开(公告)日:2018-12-27

    申请号:US16062105

    申请日:2015-12-22

    Abstract: A set of samples are returned by radio frequency identifier (RFID) reader corresponding to the readings of signals emitted from a particular RFID tag, each sample including a respective set of features identifying values of the attributes of the signals as detected. At least some of the features are provided as inputs to a random forest of decision trees, each providing a prediction that the particular RFID tag is located in one of a plurality of defined zones in a particular environment. From outputs of the plurality of decision trees based on the set of samples, it can be determined that the particular RFID tag is located in a particular one of the plurality of zones at a first instance in time.

    PREDICTION USING A DATA STRUCTURE
    7.
    发明申请

    公开(公告)号:US20170177739A1

    公开(公告)日:2017-06-22

    申请号:US14979300

    申请日:2015-12-22

    CPC classification number: G06F16/9024 G06F16/9014 G06N5/02 G06N5/04 G06N20/00

    Abstract: Techniques for prediction using multimap is described herein. The method for multimap prediction can include generating a user profile graph in the memory device based on user action input received at an input device. The method for multimap prediction can also include matching a user profile graph stored in the memory device to a subgraph of a multimap graph, both comprising nodes and edges, wherein each node indicates at least one of an activity input and a keyword. The method can include providing access to a multimap prediction in the memory device based on the user action input and the subgraph of the multimap graph.

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