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FaceEngage: Robust Estimation of Gameplay Engagement from Real-World Front-Facing Videos
FaceEngage: Robust Estimation of Gameplay Engagement from Real-World Front-Facing Videos
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210094443
- ISBN
- 9798535520100
- DDC
- 004
- 저자명
- Chen, Xu.
- 서명/저자
- FaceEngage: Robust Estimation of Gameplay Engagement from Real-World Front-Facing Videos
- 발행사항
- [Sl] : Rice University, 2019
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2019
- 형태사항
- 62 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-03, Section: A.
- 주기사항
- Advisor: Sabharwal, Ashutosh.
- 학위논문주기
- Thesis (Ph.D.)--Rice University, 2019.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Computer science
- 일반주제명
- Electrical engineering
- 일반주제명
- Physiology
- 일반주제명
- Accuracy
- 일반주제명
- Deep learning
- 일반주제명
- Datasets
- 일반주제명
- Audiences
- 일반주제명
- Video recordings
- 일반주제명
- Student writing
- 일반주제명
- Questionnaires
- 일반주제명
- Labeling
- 일반주제명
- Cognitive load
- 일반주제명
- Electroencephalography
- 일반주제명
- Games
- 일반주제명
- Aesthetics
- 일반주제명
- Psychologists
- 일반주제명
- Velocity
- 일반주제명
- Cameras
- 일반주제명
- Absolute pitch
- 일반주제명
- Experiments
- 일반주제명
- Sensors
- 일반주제명
- Data collection
- 일반주제명
- Methods
- 일반주제명
- Algorithms
- 일반주제명
- Annotations
- 일반주제명
- Heart rate
- 키워드
- Video analysis
- 기타저자
- Rice University Electrical and Computer Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-03A.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2019 us c eng d■001000016054752
■00520220210094443
■020 ▼a9798535520100
■035 ▼a(MiAaPQ)AAI28735337
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a004
■1001 ▼aChen, Xu.
■24510▼aFaceEngage: Robust Estimation of Gameplay Engagement from Real-World Front-Facing Videos
■260 ▼a[Sl]▼bRice University▼c2019
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2019
■300 ▼a62 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-03, Section: A.
■500 ▼aAdvisor: Sabharwal, Ashutosh.
■5021 ▼aThesis (Ph.D.)--Rice University, 2019.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0187.
■650 4▼aComputer science
■650 4▼aElectrical engineering
■650 4▼aPhysiology
■650 4▼aAccuracy
■650 4▼aDeep learning
■650 4▼aDatasets
■650 4▼aAudiences
■650 4▼aVideo recordings
■650 4▼aStudent writing
■650 4▼aQuestionnaires
■650 4▼aLabeling
■650 4▼aCognitive load
■650 4▼aElectroencephalography
■650 4▼aGames
■650 4▼aAesthetics
■650 4▼aPsychologists
■650 4▼aVelocity
■650 4▼aCameras
■650 4▼aAbsolute pitch
■650 4▼aExperiments
■650 4▼aSensors
■650 4▼aData collection
■650 4▼aMethods
■650 4▼aAlgorithms
■650 4▼aAnnotations
■650 4▼aHeart rate
■653 ▼aEngagement estimation
■653 ▼aVideo analysis
■653 ▼aDeep neural networks
■690 ▼a0544
■690 ▼a0984
■690 ▼a0650
■690 ▼a0719
■71020▼aRice University▼bElectrical and Computer Engineering.
■7730 ▼tDissertations Abstracts International▼g83-03A.
■773 ▼tDissertation Abstract International
■790 ▼a0187
■791 ▼aPh.D.
■792 ▼a2019
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16054752▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
