Acoustic event localization on an Arduino-based wireless sensor network

Valuable information from acoustic signals has not been fully considered into real applications associated with assisting people. In fact, the assessment of acoustic signals as an input parameter for localization techniques has useful applications in detecting the presence of living beings trapped in emergency situations by processing any type of sound emitted in face of danger. Indeed, acoustic signals have several technical considerations that make them very attractive, mainly because of their simple acquisition and processing. Thus, this paper presents the design, implementation and evaluation of a prototype that localizes a sound source through the processing of acoustic signal measurements. Concerning the acoustic event localization, two localization techniques are probed within a reverberated indoor environment. Despite the challenges of acoustic signal processing and real-time event localization, the average error obtained in our system is as low as 22 cm inside an area of 2×2 m.