DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ro, Yong Man | ko |
dc.contributor.author | Kim, Hak Gu | ko |
dc.date.accessioned | 2020-07-03T05:20:28Z | - |
dc.date.available | 2020-07-03T05:20:28Z | - |
dc.identifier.uri | http://hdl.handle.net/10203/275191 | - |
dc.description.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. | - |
dc.title | VR content sickness evaluating apparatus using deep learning analysis of motion mismatch and method thereof | - |
dc.title.alternative | 움직임 불일치의 딥 러닝 분석을 이용한 VR 콘텐츠 멀미 평가 장치 및 그 방법 | - |
dc.type | Patent | - |
dc.type.rims | PAT | - |
dc.contributor.localauthor | Ro, Yong Man | - |
dc.contributor.nonIdAuthor | Kim, Hak Gu | - |
dc.contributor.assignee | KAIST | - |
dc.identifier.iprsType | 특허 | - |
dc.identifier.patentApplicationNumber | 15882693 | - |
dc.identifier.patentRegistrationNumber | 10,657,655 | - |
dc.date.application | 2018-01-29 | - |
dc.date.registration | 2020-05-19 | - |
dc.publisher.country | US | - |
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