TY - GEN
T1 - An efficient sensing approach using dynamic multi-sensor collaboration for activity recognition
AU - Gao, Lei
AU - Bourke, Alan K.
AU - Nelson, John
PY - 2011
Y1 - 2011
N2 - This paper presents an efficient sensing approach for activity recognition using multi-sensor fusion. The main achievement of the approach is to accurately recognize the human activity with the minimum body sensor usage through the use of dynamic sensor collaboration. The Nave Bayes Classifier is adopted as the classification engine due to not only its easy implementation but also the advantages for multi-sensor fusion. The sensor selection is based on the real-time assignment information value of each sensor node. The platform is composed of a base station and a number of sensor nodes. The base station is used to assign the real-time information value for each sensor node, and fuse the chosen sensor data.
AB - This paper presents an efficient sensing approach for activity recognition using multi-sensor fusion. The main achievement of the approach is to accurately recognize the human activity with the minimum body sensor usage through the use of dynamic sensor collaboration. The Nave Bayes Classifier is adopted as the classification engine due to not only its easy implementation but also the advantages for multi-sensor fusion. The sensor selection is based on the real-time assignment information value of each sensor node. The platform is composed of a base station and a number of sensor nodes. The base station is used to assign the real-time information value for each sensor node, and fuse the chosen sensor data.
KW - activity recognition
KW - body sensor networks
KW - dynamic sensor collaboration
KW - multi-sensor fusion
UR - http://www.scopus.com/inward/record.url?scp=80052489998&partnerID=8YFLogxK
U2 - 10.1109/DCOSS.2011.5982190
DO - 10.1109/DCOSS.2011.5982190
M3 - Conference contribution
AN - SCOPUS:80052489998
SN - 9781457705137
T3 - 2011 International Conference on Distributed Computing in Sensor Systems and Workshops, DCOSS'11
BT - 2011 International Conference on Distributed Computing in Sensor Systems and Workshops, DCOSS'11
T2 - 7th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS'11
Y2 - 27 June 2011 through 29 June 2011
ER -