| Autor: |
Marta Bautista-Durán, Joaquín García-Gómez, Roberto Gil-Pita, Inma Mohíno-Herranz, Manuel Rosa-Zurera |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
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| Zdroj: |
International Journal of Computational Intelligence Systems, Vol 10, Iss 1 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
1875-6883 |
| DOI: |
10.2991/ijcis.10.1.89 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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