	US 11,909,434 B2
	Acoustic sensing nodes and related systems and methods
Xinyao Tang, Cleveland Heights, OH (US); Soumyajit Mandal, Cleveland, OH (US); Joel B. Harley, Ann Arbor, MI (US); and Tayfun Ozdemir, Ann Arbor, MI (US)
Assigned to CASE WESTERN RESERVE UNIVERSITY, Cleveland, OH (US); and VIRTUAL EM INC., Ann Arbor, MI (US)
Filed by CASE WESTERN RESERVE UNIVERSITY, Cleveland, OH (US)
Filed on Dec. 7, 2022, as Appl. No. 18/076,965.
Application 18/076,965 is a continuation of application No. 17/032,693, filed on Sep. 25, 2020, granted, now 11,569,863.
Claims priority of provisional application 62/907,162, filed on Sep. 27, 2019.
Prior Publication US 2023/0361803 A1, Nov. 9, 2023
Int. Cl. H04B 1/40 (2015.01); G01M 5/00 (2006.01)

CPC H04B 1/40 (2013.01) [G01M 5/0066 (2013.01)]

1 Claim

1. A method comprising:

receiving, at a given wireless sensor node, at least one acoustic signal transmitted by at least one other wireless sensor node, each of the wireless sensor nodes being acoustically coupled via a medium to form a wireless sensor network;

converting, at the given wireless sensor node, the received at least one acoustic signal to a corresponding acoustic data representing the at least one acoustic signal;

using machine learning to analyze the corresponding acoustic data and determine classification results that classify at least one spatial region as containing and abnormality or other unexpected condition; and

localizing abnormality or other unexpected condition based on the classification results.