US 2017/0361158 A1 · Analyzing Team Game Play Interactions Using Gaze Data

Abstract

Systems, methods, and computer-readable media are disclosed for capturing, over the course of a sports match, gaze data for each participant on a team, identifying a team-level key performance indicator (KPI) associated with a sports domain to which the sports match corresponds, and generating KPI data corresponding to the KPI. A graph may then be constructed based at least in part on the KPI data, where each node in the graph may represent a player on the team or an object of interest, and each edge connecting adjacent nodes may be weighted to indicate a degree of interaction between the nodes connected by the edge. KPI data may be aggregated across multiple sports domain KPIs and analyzed to assess team performance characteristics during the sports match. Report data indicative of team performance for different game scenarios, and optionally including recommendations for improving team performance in such scenarios, may be generated.

Claims20

Dependent claims

A computer-implemented method for analyzing interactions between members of a team using gaze parameter data, the method comprising:

capturing, by an image sensor over a period of time during a sports match, the gaze parameter data, wherein the gaze parameter data comprises first gaze parameter data associated with a first member of the team and second gaze parameter data associated with a second member of the team;
identifying, by a computer processor, a sports domain associated with the sports match;
identifying, by the computer processor, a key performance indicator (KPI) corresponding to the sports domain;
identifying, by the computer processor, one or more sports domain rules associated with the KPI;
filtering, by the computer processor, the gaze parameter data to obtain a location/time series of the gaze parameter data that satisfies the one or more sports domain rules;
generating, by the computer processor, KPI data associated with the KPI based at least in part on the location/time series of the gaze parameter data;
and
analyzing, by the computer processor, the KPI data to determine a mutual gazing behavior between the first member of the team and the second member of the team.

5 more elements

A system for analyzing interactions between members of a team using gaze parameter data, the system comprising:

at least one memory storing computer-executable instructions;
and
at least one processor configured to access the at least one memory and execute the computer-executable instructions to:
capture, via an image sensor over a period of time during a sports match, the gaze parameter data, wherein the gaze parameter data comprises first gaze parameter data associated with a first member of the team and second gaze parameter data associated with second member of the team;
identify a sports domain associated with the sports match;
identify a key performance indicator (KPI) corresponding to the sports domain;
identify one or more sports domain rules associated with the KPI;
filter the gaze parameter data to obtain a location/time series of the gaze parameter data that satisfies the one or more sports domain rules;
generate KPI data associated with the KPI based at least in part on the location/time series of the gaze parameter data;
and
analyze the KPI data to determine a mutual gazing behavior between the first member of the team and the second member of the team.

8 more elements

A computer program product for analyzing interactions between members of a team using gaze parameter data, the computer program product comprising a non-transitory storage medium readable by a processing circuit, the storage medium storing instructions executable by the processing circuit to cause a method to be performed, the method comprising:

obtaining the gaze parameter data, wherein the gaze parameter data is captured by an image sensor over a period of time during a sports match, and wherein the gaze parameter data comprises first gaze parameter data associated with a first member of the team and second gaze parameter data associated with second member of the team;
identifying a sports domain associated with the sports match;
identifying, by the computer processor, a key performance indicator (KPI) corresponding to the sports domain;
identifying one or more sports domain rules associated with the KPI;
filtering the gaze parameter data to obtain a location/time series of the gaze parameter data that satisfies the one or more sports domain rules;
generating KPI data associated with the KPI based at least in part on the location/time series of the gaze parameter data;
and
analyzing the KPI data to determine a mutual gazing behavior between the first member of the team and the second member of the team.

5 more elements

Dependencies are inferred from the claim text.

Analyzing Team Game Play Interactions Using Gaze Data

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Analyzing Team Game Play Interactions Using Gaze Data

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Abstract

Claims20