Human Activity Recognition for the Identification of Bullying and Cyberbullying Using Smartphone Sensors

Human Activity Recognition for the Identification of Bullying and Cyberbullying Using Smartphone Sensors

The smartphone is an excellent source of data; it is possible to extrapolate smartphone sensor values and, through Machine Learning approaches, perform anomaly detection analysis characterized by human behavior. This work exploits Human Activity Recognition (HAR) models and techniques to identify hu...

Full description

Bibliographic Details
Main Authors: Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo, Lucia Sarcinella
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Electronics
Subjects:
human activity recognition
deep learning
machine learning
smartphone
bullying
cyberbullying
Online Access:https://www.mdpi.com/2079-9292/12/2/261

Internet

https://www.mdpi.com/2079-9292/12/2/261

Similar Items