Volume 10, Issue 1, 2017, Pages 1298 - 1305
Energy-Efficient Acoustic Violence Detector for Smart Cities
Authors
Marta Bautista-Duránmarta.bautista@edu.uah.es, Joaquín García-Gómezjoaquin.garciagomez@edu.uah.es, Roberto Gil-Pita, Inma Mohíno-Herranz, Manuel Rosa-Zurera
Signal Theory and Communications Department, University of Alcalá, 28805 Alcalá de Henares, Madrid, Spain
Received 28 February 2017, Accepted 31 May 2017, Available Online 15 June 2017.
- DOI
- 10.2991/ijcis.10.1.89How to use a DOI?
- Keywords
- Violence Detection; Audio Processing; Feature Selection; Computational Cost
- Abstract
Violence detection represents an important issue to take into account in the design of intelligent algorithms for smart environments. This paper proposes an energy-efficient system capable of acoustically detecting violence. In our solution, genetic algorithms are used to select the best subset of features with a constrained computational cost. Results demonstrate the viability of the system, thanks to the low cost that some violence features require, making feasible the implementation of the proposed method in a nowadays low power microprocessor.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Marta Bautista-Durán AU - Joaquín García-Gómez AU - Roberto Gil-Pita AU - Inma Mohíno-Herranz AU - Manuel Rosa-Zurera PY - 2017 DA - 2017/06/15 TI - Energy-Efficient Acoustic Violence Detector for Smart Cities JO - International Journal of Computational Intelligence Systems SP - 1298 EP - 1305 VL - 10 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.10.1.89 DO - 10.2991/ijcis.10.1.89 ID - Bautista-Durán2017 ER -