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Global Mosquito-Sensing Network Being Built ­sing Smartphones

By Technology Review

December 4, 2017

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Researchers at the University of Oxford in the U.K. say they have developed MozzWear, a low-cost smartphone sensor system to identify and monitor mosquito populations.

The team says the system exploits the fact that mosquito species can be identified by the noise their wings make, and MozzWear records mosquito noises, the time, and their location, sending the data to a central server where the species can be identified.

The team trained a machine-learning algorithm to recognize the characteristic acoustic signatures of different species and then identify the insects accordingly.

The researchers were able to train the machine-learning algorithm with recordings of mosquitoes collected by the U.S. Centers for Disease Control and Prevention and the U.S. Army Military Research Unit in Kisumu, Kenya.

The team found its system accurately detects the Anopheles species of mosquito about 72% of the time, thus representing a useful proof-of-principle demonstration.

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