no code implementations • 6 May 2021 • Ömer Sümer, Cigdem Beyan, Fabian Ruth, Olaf Kramer, Ulrich Trautwein, Enkelejda Kasneci
One approach that can promote efficient development of presentation competence is the automated analysis of human behavior during a speech based on visual and audio features and machine learning.
no code implementations • 11 Jan 2021 • Ömer Sümer, Patricia Goldberg, Sidney D'Mello, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
To best examine student visual engagement in the classroom, we conducted a study utilizing the audiovisual recordings of classes at a secondary school over one and a half month's time, acquired continuous engagement labeling per student (N=15) in repeated sessions, and explored computer vision methods to classify engagement levels from faces in the classroom.
Facial Expression Recognition Facial Expression Recognition (FER) +1
no code implementations • 14 Jan 2020 • Ömer Sümer, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
A possible solution would be to request permission to record the audio-visual recordings of all students (including those who do not voluntarily participate in the study) and to anonymise their data.
no code implementations • 12 Jan 2020 • Ömer Sümer, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
This paper addresses the problem of understanding joint attention in third-person social scene videos.
no code implementations • 22 May 2018 • Ömer Sümer, Patricia Goldberg, Kathleen Stürmer, Tina Seidel, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
The ability for a teacher to engage all students in active learning processes in classroom constitutes a crucial prerequisite for enhancing students achievement.