Abstract: Disclosed are an athlete evaluation method and a system and device for performing the same. The athlete evaluation method may include acquiring location data of a plurality of participants, computing a reference location of a specific sport participant on the basis of location data of other sport participants, generating relative location data of the specific participant from the location data of the specific participant in consideration of the reference location, generating heatmap data of the specific participant on the basis of the relative location data, and computing a performance index of the specific participant.

Abstract: A multi-mode tracking method according to the present disclosure includes receiving sensor signals from a plurality of positioning sensors located on a plurality of sport participants wherein the sensor signals each include a participant identifier and location data, receiving a sport image captured from a camera located near a playfield wherein the sport image includes at least a target participant among a plurality of sport participants on the playfield, detecting an occlusion related to the target participant in the sports image, determining the severity of the occlusion on the basis of a sensor signal received from a specific positioning sensor installed on a specific sport player located in a region of interest related to the occlusion, and determining a location of the sport participant on the basis of the severity of the occlusion.

Abstract: A method for providing exercise load information of a target entity is provided. The method includes obtaining a target data set of the target entity for a target exercise session including a plurality of time units, wherein the target data set includes a sequence of kinematic information of the target entity for each of the plurality of time units; and determining, based on the target data set, an estimated load index reflecting a level of exercise load of the target entity for the target exercise session using an artificial neural network (ANN).