Energy-Efficient Acoustic Violence Detector for Smart Cities

• Main Authors: Marta Bautista-Durán, Joaquín García-Gómez, Roberto Gil-Pita, Inma Mohíno-Herranz, Manuel Rosa-Zurera
• Format: Article
• Language: English
• Published: Atlantis Press 2017-01-01
• Series: International Journal of Computational Intelligence Systems
• Subjects: Violence Detection; Audio Processing; Feature Selection; Computational Cost
• Online Access: https://www.atlantis-press.com/article/25883370/view
• ISSN: 1875-6883

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.