Hoang D Le

US Patent:

20180157974, Jun 7, 2018

Filed:

Dec 4, 2017

Appl. No.:

15/830710

Inventors:

- Burbank CA, US
Hoang M. Le - Pasadena CA, US
Yisong Yue - Glendale CA, US

International Classification:

G06N 3/08
G06K 9/00
A63B 24/00

Abstract:

One embodiment provides a method, comprising: training, using deep imitation learning, a neural network associated with a predetermined ghosting model to predict player movements for at least one player during at least one sequence in a game; receiving, at an information handling device, tracking data associated with a player movement path for at least one player during the at least one sequence; analyzing, using a processor, the tracking data to determine at least one feature associated with the at least one player at a plurality of predetermined time points during the at least one sequence; and determining, using the predetermined ghosting model and the at least one feature, a ghosted movement path for the at least one player beginning from one of the plurality of predetermined time points. Other aspects are described and claimed.