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
More Info
expand_more

Published Date

22-06-2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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)
Unknown license