Invention Grant
- Patent Title: VR content sickness evaluating apparatus using deep learning analysis of motion mismatch and method thereof
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Application No.: US15882693Application Date: 2018-01-29
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Publication No.: US10657655B2Publication Date: 2020-05-19
- Inventor: YongMan Ro , Hak Gu Kim
- Applicant: Korea Advanced Institute of Science and Technology
- Applicant Address: KR Daejeon
- Assignee: Korea Advanced Institute of Science and Technology
- Current Assignee: Korea Advanced Institute of Science and Technology
- Current Assignee Address: KR Daejeon
- Agency: Christensen O'Connor Johnson Kindness PLLC
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@3d33d3c1
- Main IPC: G06T7/246
- IPC: G06T7/246 ; G06T19/00 ; G06T7/73 ; G06K9/62 ; G06K9/00

Abstract:
A VR content sickness evaluating apparatus using a deep learning analysis of a motion mismatch and a method thereof are provided. The VR content sickness evaluating apparatus analyzes a motion mismatch phenomenon between visual recognition information and posture recognition information, which occurs when a user views VR content, using deep learning and predicts and evaluates a degree of VR sickness from a difference between motion features.
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