Automatic Detection of Mind-Wandering Based on Body and Hand Movements from “Mementos” Dataset

Bachelor thesis (2022)

Authors

A. Kārkliņš Electrical Engineering, Mathematics and Computer Science

Contributors

B.J.W. Dudzik Pattern Recognition and Bioinformatics - EEMCS (mentor)
X. Zhang Pattern Recognition and Bioinformatics - EEMCS (mentor)
H.S. Hung Pattern Recognition and Bioinformatics - EEMCS (mentor)
P.K. Murukannaiah Interactive Intelligence - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Andrejs Kārkliņš
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Published Date

22-06-2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

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.

Files

Final_paper.pdf
(pdf | 0.999 Mb)