Monitoring workspace activities using accelerometers
Natali Ruchansky, Christine Löchner, E. Do, T. Rawls, Nabil Hajj Chehade, Jen‐Tzung Chien, Gregory J. Pottie, William Kaiser · 2011
In this paper, we describe a physical activity classification system using a body sensor network (BSN) consisting of cost sensitive 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.