RT Journal Article
T1 Design and Implementation of Acoustic Source Localization on a Low-Cost IoT Edge Platform
A1 Fabregat, Germán
A1 Belloch Rodríguez, José Antonio
A1 Badia, José M.
A1 Cobos, Maximo
AB 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.
PB IEEE
SN 1549-7747
YR 2020
FD 2020-12-01
LK https://hdl.handle.net/10016/35679
UL https://hdl.handle.net/10016/35679
LA eng
NO This work was supported in part by the Spanish Government under Grant TIN2017-82972-R, Grant ESP2015-68245-C4-1-P, and Grant RTI2018-097045-B-C21, and in part by the Valencian Regional Government under Grant PROMETEO/2019/109.
DS e-Archivo
RD 27 jul. 2024