Main Article Content
Events happening around us generate many sound signals. Some examples of these incidents are shooting in cities or forested areas, humans chopping wood in forested areas, calling for wild animals or chi birds, talking to vehicles driving in the forest or talking to people illegally crossing a safe border. In these incidents, it is very important to detect the mine activities and their locations, because they indicate illegal intrusion by laying mines or digging holes, placing animal traps in the forest, etc. This paper proposes a method to identify soil dig events in the presence of other forest noise. The sound signal for soil dig is collected by keeping the microphone at different distances from the sound source and digging. Signals were analyzed using spectrogram. A Bayesian Network Classifier is applied to classify the event.
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.