Print Email Facebook Twitter Automatic Detection of Mind-Wandering Based on Body and Hand Movements from “Mementos” Dataset Title Automatic Detection of Mind-Wandering Based on Body and Hand Movements from “Mementos” Dataset Author Kārkliņš, Andrejs (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Dudzik, B.J.W. (mentor) Zhang, X. (mentor) Hung, H.S. (mentor) Murukannaiah, P.K. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2022-06-22 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. Subject Mind-wanderingDetection of anomaliestime-series To reference this document use: http://resolver.tudelft.nl/uuid:12257235-c25d-4307-9607-005f15e84e3e Part of collection Student theses Document type bachelor thesis Rights © 2022 Andrejs Kārkliņš Files PDF Final_paper.pdf 1023.06 KB Close viewer /islandora/object/uuid:12257235-c25d-4307-9607-005f15e84e3e/datastream/OBJ/view