%0 Journal Article %J Pervasive Mob. Comput. %D 2012 %T Fast track article: Disaggregated water sensing from a single, pressure-based sensor: An extended analysis of HydroSense using staged experiments %A Larson,Eric %A Jon Froehlich %A Campbell,Tim %A Haggerty,Conor %A Atlas,Les %A Fogarty,James %A Patel,Shwetak N. %K Activity sensing %K H1.2 %K H5.2 %K Infrastructure-mediated sensing %K Sensors %K Water usage %X We present an extended analysis of our previous work on the HydroSense technology, which is a low-cost and easily installed single-point sensor of pressure for automatically disaggregating water usage activities in the home (Froehlich et al., 2009 [53]). We expand upon this work by providing a survey of existing and emerging water disaggregation techniques, a more comprehensive description of the theory of operation behind our approach, and an expanded analysis section that includes hot versus cold water valve usage classification and a comparison between two classification approaches: the template-based matching scheme used in Froehlich et al. (2009) [53] and a new stochastic approach using a Hidden Markov Model. We show that both are successful in identifying valve- and fixture-level water events with greater than 90% accuracies. We conclude with a discussion of the limitations in our experimental methodology and open problems going forward. %B Pervasive Mob. Comput. %V 8 %P 82 - 102 %8 2012/02// %@ 1574-1192 %G eng %U http://dx.doi.org/10.1016/j.pmcj.2010.08.008 %N 1 %R 10.1016/j.pmcj.2010.08.008