Monitoring workspace activities using accelerometers

In this paper, we describe a physical activity classification system using a body sensor network (BSN) consisting of costsensitive tri-axial accelerometers. We focus on workspace activities (different motions and sitting postures). We use a Naive Bayes classifier and show that we can train the system simply and systematically. For each task, we find a set of features that separate the corresponding activities.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Natali Ruchansky, Claire Lochner, Elizabeth Do, Tremaine Rawls, Mohamed Nabil Hajj Chehade, Jay Chien, Gregory J. Pottie, William J. Kaiser
• Keywords: Body Sensor Network, Costsensitive Tri-axial Accelerometers, ICASSP 2011, Naive Bayes Classifier, Signal Processing