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- Title
A Similarity Analysis of Audio Signal to Develop a Human Activity Recognition Using Similarity Networks.
- Authors
García-Hernández, Alejandra; Galván-Tejada, Carlos E.; Galván-Tejada, Jorge I.; Celaya-Padilla, José M.; Gamboa-Rosales, Hamurabi; Velasco-Elizondo, Perla; Cárdenas-Vargas, Rogelio
- Abstract
Human Activity Recognition (HAR) is one of the main subjects of study in the areas of computer vision and machine learning due to the great benefits that can be achieved. Examples of the study areas are: health prevention, security and surveillance, automotive research, and many others. The proposed approaches are carried out using machine learning techniques and present good results. However, it is difficult to observe how the descriptors of human activities are grouped. In order to obtain a better understanding of the the behavior of descriptors, it is important to improve the abilities to recognize the human activities. This paper proposes a novel approach for the HAR based on acoustic data and similarity networks. In this approach, we were able to characterize the sound of the activities and identify those activities looking for similarity in the sound pattern. We evaluated the similarity of the sounds considering mainly two features: the sound location and the materials that were used. As a result, the materials are a good reference classifying the human activities compared with the location.
- Subjects
HUMAN activity recognition; MACHINE learning; VIDEO surveillance; FEATURE extraction; CLASSIFICATION algorithms
- Publication
Sensors (14248220), 2017, Vol 17, Issue 11, p2688
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s17112688