公开(公告)号：US11481039B2

公开(公告)日：2022-10-25

申请号：US17327277

申请日：2021-05-21

Applicant: Electronics and Telecommunications Research Institute

Inventor： Yeong Jae Choi ,  Seung Joon Kwon ,  Sang Woo Seo

IPC: G06T15/08 ,  H04N5/369 ,  G06F3/01 ,  G06N20/00 ,  G06K9/62

Abstract: Provided is a system for recognizing a user hand gesture and providing virtual reality content based on deep learning using transfer learning. The system includes a head mounted display (HMD) configured to display, to a user, virtual reality content based on a hand gesture, a hand gesture sensor configured to acquire hand data of the user, and a controller device configured to receive the hand data and convert the received hand data into hand gesture data, manage a hand gesture recognizer on the basis of deep learning, and perform content execution management.

公开(公告)号：US11436868B2

公开(公告)日：2022-09-06

申请号：US17104949

申请日：2020-11-25

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Jong Sung Kim ,  Seung Joon Kwon ,  Sang Woo Seo ,  Yeong Jae Choi

IPC: G06K9/00 ,  G06V40/20 ,  G06T7/20 ,  G06T7/73

Abstract: Provided is a system and method for automatically recognizing user motion. The system for automatically recognizing user motion includes an input unit configured to receive three-dimensional (3D) measurement data, a memory which stores a program for performing automatic recognition on 3D user motion using 3D low-quality depth data and a deep learning model, and a processor configured to execute the program, wherein the processor converts the 3D low-quality depth data into 3D high-quality image data.