TY - GEN
T1 - A motion sequence fusion technique based on PCA for activity analysis in body sensor networks
AU - Ghassemzadeh, Hassan
AU - Guenterberg, Eric
AU - Ostadabbas, Sarah
AU - Jafari, Roozbeh
PY - 2009
Y1 - 2009
N2 - Human movement analysis by means of mobile sensory platforms is an ever-growing area with promise to revolutionize delivery of healthcare services. An effective data fusion technique is essential for understanding the inertial information obtained from distributed sensor nodes. In this paper, we develop a data fusion model based on the concept of principal component analysis. Unlike traditional fusion techniques which deal with statistical feature space, our model operates on motion transcripts, where each movement is represented as a sequence of basic building blocks called primitives. We describe how our model transforms transcripts of different nodes into a unified transcript by integrating the most relevant primitives of movements. Finally, we demonstrate the performance of our transcript fusion model for action recognition using real data collected from three subjects.
AB - Human movement analysis by means of mobile sensory platforms is an ever-growing area with promise to revolutionize delivery of healthcare services. An effective data fusion technique is essential for understanding the inertial information obtained from distributed sensor nodes. In this paper, we develop a data fusion model based on the concept of principal component analysis. Unlike traditional fusion techniques which deal with statistical feature space, our model operates on motion transcripts, where each movement is represented as a sequence of basic building blocks called primitives. We describe how our model transforms transcripts of different nodes into a unified transcript by integrating the most relevant primitives of movements. Finally, we demonstrate the performance of our transcript fusion model for action recognition using real data collected from three subjects.
UR - http://www.scopus.com/inward/record.url?scp=77950984539&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950984539&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2009.5332589
DO - 10.1109/IEMBS.2009.5332589
M3 - Conference contribution
C2 - 19963575
AN - SCOPUS:77950984539
SN - 9781424432967
T3 - Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
SP - 3146
EP - 3149
BT - Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PB - IEEE Computer Society
T2 - 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Y2 - 2 September 2009 through 6 September 2009
ER -