Phuc Hong Nguyen

20200272823, Aug 27, 2020

Nov 5, 2018

16/625172

- Mountain View CA, US
Gautam Prasad - Los Angeles CA, US
Phuc Xuan Nguyen - San Francisco CA, US
Bohyung Han - Songpa-Gu, Seoul, KR

G06K 9/00
G06K 9/62

Systems and methods for a weakly supervised action localization model are provided. Example models according to example aspects of the present disclosure can localize and/or classify actions in untrimmed videos using machine-learned models, such as convolutional neural networks. The example models can predict temporal intervals of human actions given video-level class labels with no requirement of temporal localization information of actions. The example models can recognize actions and identify a sparse set of keyframes associated with actions through adaptive temporal pooling of video frames, wherein the loss function of the model is composed of a classification error and a sparsity of frame selection. Following action recognition with sparse keyframe attention, temporal proposals for action can be extracted using temporal class activation mappings, and final time intervals can be estimated corresponding to target actions.

20160089574, Mar 31, 2016

Sep 28, 2015

14/868268

- New York NY, US
Jeffrey Scott BRUENING - Los Angeles CA, US
Gordon THOMPSON, III - New York NY, US
Chirag PATEL - Brooklyn NY, US
Neel Magan BAKARANIA - Forest Hills NY, US
Phuc Van Nguyen - Brooklyn NY, US
Catherine Crowe MARK - New York NY, US
John WHITE - Brooklyn, NY
Jin Sung YOO - Brooklyn NY, US
Karen RAINERT - Mamaroneck NY, US
John Paul BENVENUTO - New York NY, US
Nicole DEL SENNO - Flushing NY, US
Matthew JACOBS - New York NY, US
David HITCHINGS - Kinnelon NJ, US

A63B 24/00

Exercise class systems and methods may include a plurality of pieces of exercise equipment and/or a plurality of sensing systems adapted to be worn on people in the class, each piece of equipment or sensing system outputting plural exercise signals relating to exercise performance on the piece of equipment or of the person with the sensing system. A computer system may also be provided. The computer system may include at least one electronic storage device which stores the plural signals from the pieces of equipment or sensing system and at least one processor which generates an output signal containing an animation corresponding to at least two of the exercise signals from each of the pieces of equipment or sensing systems. At least one display device, visible from each of the pieces of equipment or people in the class, may receive the output signal and display the animation.