Automatic Detection of Mind-Wandering Based on Body and Hand Movements from “Mementos” Dataset
A. Kārkliņš (TU Delft - Electrical Engineering, Mathematics and Computer Science)
B.J.W. Dudzik – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
X. Zhang – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
H.S. Hung – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
P.K. Murukannaiah – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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Abstract
The aim of this research is to discuss if it is possible or feasible enough to detect Mind-wandering of individuals using their hand and body movements from video recordings. The basis for this research is “Mementos”[9] data set, containing over 2000 recordings of people watching music videos. During experiment videos from data set were used to create software, that would automatically determine Mind-wandering. Results of the study have shown that body and hand movements are useful for detection of the phenomenon, however are not self-sufficient indicators for reliable detection. This study has found a reproducible methodology for automatic detection of Mind-wandering from pre-recorded videos, which is contributing towards exploration of this complex phenomenon in the field of Computer Science.