Title :
Monitoring workspace activities using accelerometers
Author :
Ruchansky, N. ; Lochner, C. ; Do, E. ; Rawls, T. ; Chehade, N. Hajj ; Chien, J. ; Pottie, G. ; Kaiser, W.
Author_Institution :
Center for Embedded Networked Sensing, Univ. of California, Los Angeles, CA, USA
Abstract :
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.
Keywords :
accelerometers; belief networks; body area networks; medical computing; pattern classification; Naive Bayes classifier; body sensor network; sensitive triaxial accelerometers; workspace activities monitoring; Accelerometers; Accuracy; Legged locomotion; Monitoring; Sensors; Training; Training data; Accelerometers; Activity classification; Naive Bayes classifier;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946862
