Paper Info
Title
LOCOMOBIS: a low-cost acoustic-based sensing system to monitor and classify mosquitoes
Abstract
Mosquitoes are considered one of the more severe worldwide health hazards. Their populations vary heterogeneously in urban and rural landscapes, and fluctuate with seasonal or climatic trends and human activities. Thus, frequent widespread high-resolution surveillance of mosquitoes is essential for both understanding their complex ecology and behavior, and also predicting disease risk and formulating effective control strategies against mosquito-borne diseases such as malaria, dengue and Zika. To this end, in this paper, we present LOCOMOBIS, a LOw-COst MOsquito BIoacoustic Sensor where the wingbeat sounds produced by mosquitoes in flapping-wing flight are used to identify different species automatically. The sensor has been deployed and tested in a real field deployment and our results demonstrate the practical feasibility of this low-cost nonintrusive approach for monitoring mosquitoes in places requiring vector monitoring aimed at mosquito control or eradication. Moreover, to make the system more ubiquitous and easy to interact with, we implemented a web-based application where it is possible to check the collected data and the automatic species and gender classification.
Year
DOI
Venue
2019
10.1109/CCNC.2019.8651767
2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)
Keywords
Field
DocType
Microphones,Diseases,Monitoring,Acoustic sensors,Optical sensors,Acoustics,Insects
Mosquito control,Sensing system,Environmental resource management,Software deployment,Computer science,Malaria,Dengue fever,Distributed computing
Conference
ISSN
ISBN
Citations 
2331-9852
978-1-5386-5553-5
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Dinarte Vasconcelos100.34
Nuno Jardim Nunes242574.01
Miguel Ribeiro3214.56
Catia Prandi415534.78
alex rogers52500183.76