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VITEC: A violence detection framework

  • Hany Ferdinando*
  • , Tuija Huuki
  • , Liang Ye
  • , Tian Han
  • , Zhu Zhang
  • , Guobing Sun
  • , Tapio Seppänen
  • , Esko Alasaarela
  • *Corresponding author for this work
  • University of Oulu
  • Petra Christian University
  • Harbin University of Science and Technology
  • Heilongjiang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Hundreds of millions of youths suffer from various violence each year. The negative impacts motivate much research and numerous studies on violence. However, those attempts went their own way, making the achieved results, especially from engineering, not so useful. Based on the Sensor and Social Web (SEWEB) concept, Violence Detection (VITEC) was proposed as a possible framework to facilitate multi-disciplinary researchers in their fight against violence. At its core, it consists of a primary agent, which is violence detection using physiological signals and activity recognition, and a secondary agent, which is violence detection using surveillance video. The second layer of the proposed framework contains a cloud computing service with a Personal Safety Network (PSN) database. The cloud computing service manages all data, notifications, and some more thorough processing. The upper layer is for both observed young persons and members of the PSN. The proposed framework offers business opportunities. The existing school violence/bullying intervention programs can take advantage of VITEC by providing almost instant notifications of violent events, enabling the victims to get immediate help and intensifying coordination among different sectors to fight against violence. In the long run, VITEC may provide an answer related to the vision of having a world free from violence in 2030, as addressed by the UN Special Representative of Secretary-General on violence against children.

Original languageEnglish
Title of host publicationArtificial Intelligence for Communications and Networks - 1st EAI International Conference, AICON 2019, Proceedings
EditorsShuai Han, Liang Ye, Weixiao Meng
PublisherSpringer Verlag
Pages3-17
Number of pages15
ISBN (Print)9783030229702
DOIs
StatePublished - 2019
Event1st EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2019 - Harbin, China
Duration: 25 May 201926 May 2019

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume287
ISSN (Print)1867-8211

Conference

Conference1st EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2019
Country/TerritoryChina
CityHarbin
Period25/05/1926/05/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • Activity recognition
  • Bullying detection
  • Physiological signals
  • Surveillance video
  • VITEC
  • Violent detection

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