Human Activity Recognition for Identifying Bullying and Cyberbullying: A Comparative Analysis Between Users Under and over 18 Years Old

Vincenzo Gattulli, Lucia Sarcinella

2024

Abstract

The smartphone is an excellent source of data. Sensor values can be extrapolated from the smartphone. This work exploits Human Activity Recognition (HAR) models and techniques to identify human activity performed while filling out a questionnaire that aims to classify users as Bullies, Cyberbullies, Victims of Bullying, and Victims of Cyberbullying. The paper aims to identify activities related to the questionnaire class other than just sitting. The paper starts with a state-of-the-art analysis of HAR to arrive at the design of a model that could recognize everyday life actions and discriminate them from actions resulting from alleged bullying activities (Questionnaire Personality Index). Five activities were considered for recognition: Walking, Jumping, Sitting, Running, and Falling. The best HAR activity identification model was applied to the dataset obtained from the "Smartphone Questionnaire Application" experiment to perform the analysis. The best model for HAR identification is CNN.

Paper Citation

in Harvard Style

Gattulli V. and Sarcinella L. (2024). Human Activity Recognition for Identifying Bullying and Cyberbullying: A Comparative Analysis Between Users Under and over 18 Years Old. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: NeroPRAI; ISBN 978-989-758-684-2, SciTePress, pages 969-977. DOI: 10.5220/0012578800003654

in Bibtex Style

@conference{neroprai24,
author={Vincenzo Gattulli and Lucia Sarcinella},
title={Human Activity Recognition for Identifying Bullying and Cyberbullying: A Comparative Analysis Between Users Under and over 18 Years Old},
booktitle={Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: NeroPRAI},
year={2024},
pages={969-977},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012578800003654},
isbn={978-989-758-684-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: NeroPRAI
TI - Human Activity Recognition for Identifying Bullying and Cyberbullying: A Comparative Analysis Between Users Under and over 18 Years Old
SN - 978-989-758-684-2
AU - Gattulli V.
AU - Sarcinella L.
PY - 2024
SP - 969
EP - 977
DO - 10.5220/0012578800003654
PB - SciTePress