Design and Implementation of Acoustic Source Localization on a Low-Cost IoT Edge Platform
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Otros documentos de la autoría: Fabregat Llueca, German; BELLOCH, JOSE A.; Badía, José; Cobos, Maximo
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Título
Design and Implementation of Acoustic Source Localization on a Low-Cost IoT Edge PlatformFecha de publicación
2020-04-08Editor
Institute of Electrical and Electronics EngineersISSN
1549-7747Cita bibliográfica
FABREGAT, Germán, et al. Design and implementation of acoustic source localization on a low-cost iot edge platform. IEEE Transactions on Circuits and Systems II: Express Briefs, 2020.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://ieeexplore.ieee.org/document/9060930Versión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
The implementation of algorithms for acoustic
source localization on edge platforms for the Internet of Things
(IoT) is gaining momentum. Applications based on acoustic monitoring can greatly benefit from efficient ... [+]
The implementation of algorithms for acoustic
source localization on edge platforms for the Internet of Things
(IoT) is gaining momentum. Applications based on acoustic monitoring can greatly benefit from efficient implementations of such
algorithms, enabling novel services for smart homes and buildings or ambient-assisted living. In this context, this brief proposes
extreme low-cost sound source localization system composed of
two microphones and the low power microcontroller module
ESP32. A Direction-Of-Arrival (DOA) algorithm has been implemented taking into account the specific features of this board,
showing excellent performance despite the memory constraints
imposed by the platform. We have also adapted off-the-shelf lowcost microphone boards to the input requirements of the ESP32
Analog-to-Digital Converter. The processing has been optimized
by leveraging in parallel both cores of the microcontroller to capture and process the audio in real time. Our experiments expose
that we can perform real-time localization, with a processing time
below 3.3 ms. [-]
Publicado en
IEEE Transactions on Circuits and Systems II: Express Briefs ( Volume: 67, Issue: 12, Dec. 2020)Derechos de acceso
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