CoughLoc: Location-Aware Indoor Acoustic Sensing for Non-Intrusiv.pdf (459.74 kB)
Download file

CoughLoc: Location-Aware Indoor Acoustic Sensing for Non-Intrusive Cough Detection

Download (459.74 kB)
journal contribution
posted on 21.06.2011, 00:00 authored by Zheng Sun, Aveek Purohit, Kathleen Yang, Neha Pattan, Dan Siewiorek, Asim Smailagic, Ian Lane, Pei Zhang
Pervasive medical monitoring has become an ideal alter- native to nursing care for elderly people and patients in hospitals. Existing systems using single body-worn sensors are often intrusive and less reliable. By contrast, ubiqui- tous acoustic sensing techniques can support non-intrusive and robust medical monitoring. In this paper, we describe CoughLoc, a ubiquitous acoustic sensing system for con- tinuous cough detection using a wireless sensor network. We show how knowledge of sound source locations can be leveraged to improve the detection accuracy of sound events caused by mobile users. Experiments in indoor environ- ments show our system achieves over 90% cough detection performance under quiet backgrounds, and 1.6 times higher performance compared to a baseline approach with no loca- tion information.




Usage metrics