公开(公告)号：US10832483B2

公开(公告)日：2020-11-10

申请号：US16137228

申请日：2018-09-20

Applicant: Electronics and Telecommunications Research Institute

Inventor： Hee Seok Oh ,  Seung Woo Nam ,  Wook Ho Son ,  Beom Ryeol Lee

IPC: G06T19/00 ,  G06F3/01 ,  G06N20/00

Abstract: Disclosed is an apparatus and method of monitoring a VR (Virtual Reality) sickness prediction model for virtual reality content. A method of monitoring a VR sickness prediction model according to the present disclosure includes: displaying the virtual reality content on a display unit; acquiring an user input; analyzing the virtual reality content on a basis of the acquired user input; and displaying an analysis result for the virtual reality content on the display unit.

公开(公告)号：US10725534B2

公开(公告)日：2020-07-28

申请号：US16140210

申请日：2018-09-24

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Wook Ho Son ,  Seung Woo Nam ,  Hee Seok Oh ,  Beom Ryeol Lee

IPC: G06F3/048 ,  G06F3/01 ,  G06T19/00 ,  G06F17/18 ,  G06N20/00 ,  G02B27/01

Abstract: Disclosed is an apparatus and method of generating a VR sickness prediction model. A method of generating a VR sickness prediction model according to the present disclosure includes: displaying virtual reality content on a display unit; detecting first VR sickness information of a user who experiences the virtual reality content using a sensor; determining second VR sickness information using a user input that is input from the user in response to a request for inputting a degree of VR sickness for the virtual reality content; performing machine learning based on supervised learning using VR sickness-inducing factors for the virtual reality content, the first VR sickness information, and the second VR sickness information; and determining a correlation between the VR sickness-inducing factors and a list of VR sickness symptoms on a basis of the performed machine learning.