FaceEngage: Robust Estimation of Gameplay Engagement from User-Contributed (YouTube) Videos

Keyphrases

• Robust Estimation 100%
• Facial Movement 100%
• YouTube Videos 100%
• Deep Learning 66%
• Motion Features 66%
• Non-contact 33%
• Estimation Method 33%
• Training Data 33%
• Motion-based 33%
• Head Movement 33%
• Facial Features 33%
• Informative Features 33%
• Feature-based 33%
• User Experience 33%
• Unconstrained Environment 33%
• Non-intrusive 33%
• Interactive Tasks 33%
• Blink Rate 33%
• Electronic Learning 33%
• User Engagement 33%
• YouTube 33%
• Face Movement 33%
• Task Engagement 33%
• Game Scene 33%
• Game Genre 33%
• Picture in picture 33%
• Full-screen 33%
• Video Length 33%
• Subwindows 33%
• Psychological Work 33%
• Motion Cue 33%
• Engagement Measurement 33%
• Naturalistic Condition 33%
• Gamers 33%
• Gaming Video 33%

Computer Science

• Deep Learning Method 100%
• YouTube 100%
• Motion Feature 100%
• Estimation Method 50%
• Facial Feature 50%
• Electronic Learning 50%
• Training Data 50%
• User Experience 50%
• User Engagement 50%
• Interactive 50%