TY - GEN
T1 - Activity recognition based on wearable sensors using selection/fusion hybrid ensemble
AU - Min, Jun Ki
AU - Cho, Sung Bae
PY - 2011
Y1 - 2011
N2 - Activity recognition with mobile sensors is a challenging task due to the inherent noisy nature of the input data and resource limitations of the target platform. This paper presents a novel method of hybridizing classifier selection and classifier fusion in order to address these difficulties. It efficiently decreases the computational cost by activating appropriate classifiers according to the characteristics of the given input, and resolves the pattern variations by combining the chosen classifiers with localized templates. The proposed method is integrated with a wearable system that includes five motion sensors (accelerometers and gyroscopes), a set of bio-signal sensors, and data-gloves. The experiments on two different levels of activities, such as 11 primitive motions and eight composite behaviors, demonstrated that the proposed method is useful to the wearable systems.
AB - Activity recognition with mobile sensors is a challenging task due to the inherent noisy nature of the input data and resource limitations of the target platform. This paper presents a novel method of hybridizing classifier selection and classifier fusion in order to address these difficulties. It efficiently decreases the computational cost by activating appropriate classifiers according to the characteristics of the given input, and resolves the pattern variations by combining the chosen classifiers with localized templates. The proposed method is integrated with a wearable system that includes five motion sensors (accelerometers and gyroscopes), a set of bio-signal sensors, and data-gloves. The experiments on two different levels of activities, such as 11 primitive motions and eight composite behaviors, demonstrated that the proposed method is useful to the wearable systems.
UR - http://www.scopus.com/inward/record.url?scp=83755173053&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=83755173053&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2011.6083808
DO - 10.1109/ICSMC.2011.6083808
M3 - Conference contribution
AN - SCOPUS:83755173053
SN - 9781457706523
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 1319
EP - 1324
BT - 2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Conference Digest
T2 - 2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011
Y2 - 9 October 2011 through 12 October 2011
ER -