CoughLoc: Location-Aware Indoor Acoustic Sensing for Non-Intrusive Cough Detection
journal contributionposted on 21.06.2011 by Zheng Sun, Aveek Purohit, Kathleen Yang, Neha Pattan, Dan Siewiorek, Asim Smailagic, Ian Lane, Pei Zhang
Any type of content formally published in an academic journal, usually following a peer-review process.
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.