US 12,233,332 B2
Remote multiplayer interactive physical gaming with mobile computing devices
Keng Fai Lee, Cupertino, CA (US); Qi Zhang, Hong Kong (HK); Wing Hung Chan, Hong Kong (HK); Wang Fai Ng, Hong Kong (HK); Tin Yin Lam, Fremont, CA (US); Alexander Wu, San Francisco, CA (US); Ian Smith, Mountain View, CA (US); David Richard Schmierer, Campbell, CA (US); Bradford Lewis Farkas, New York City, NY (US); and Kin Ming Law, Hong Kong (HK)
Assigned to NEX Team Inc., San Jose, CA (US)
Filed by NEX Team Inc., San Jose, CA (US)
Filed on Apr. 15, 2022, as Appl. No. 17/721,596.
Application 17/721,596 is a continuation of application No. 16/862,753, filed on Apr. 30, 2020, granted, now 11,322,043.
Application 16/862,753 is a continuation of application No. 16/445,893, filed on Jun. 19, 2019, granted, now 10,643,492, issued on May 5, 2020.
Claims priority of provisional application 62/687,393, filed on Jun. 20, 2018.
Prior Publication US 2022/0238036 A1, Jul. 28, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. A63F 13/213 (2014.01); A63B 24/00 (2006.01); A63B 69/00 (2006.01); A63B 71/06 (2006.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 40/20 (2022.01); G09B 5/04 (2006.01); G09B 19/00 (2006.01); G06F 16/353 (2025.01)
CPC A63F 13/213 (2014.09) [A63B 24/0062 (2013.01); A63B 71/0622 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/42 (2022.01); G06V 40/23 (2022.01); G09B 5/04 (2013.01); G09B 19/0038 (2013.01); A63B 69/0071 (2013.01); A63B 71/0669 (2013.01); A63B 2071/0694 (2013.01); A63B 2220/806 (2013.01); G06F 16/353 (2019.01); G06V 20/44 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method for physical gaming with a mobile computing device, comprising:
joining a game comprising at least a player;
capturing a video of the player in the game using a camera of the mobile computing device;
determining an object flow associated with the player from the video by detecting one or more key points of the player using a machine learning technique for performing at least one of an object recognition, a pose estimation, and an object flow construction on the video;
determining an affinity field map using the machine learning technique; and
determining a pose of the player based on the key points and the affinity field map.