TY - GEN
T1 - Activity recognition using one triaxial accelerometer
T2 - 6th International Conference of Entertainment Computing, ICEC 2007
AU - Yang, Jhun Ying
AU - Chen, Yen Ping
AU - Lee, Gwo Yun
AU - Liou, Shun Nan
AU - Wang, Jeen-Shing
PY - 2007/12/1
Y1 - 2007/12/1
N2 - This paper presents a neuro-fuzzy classifer for activity recognition using one triaxial accelerometer and feature reduction approaches. We use a triaxial accelerometer to acquire subjects' acceleration data and train the neurofuzzy classifier to distinguish different activities/movements. To construct the neuro-fuzzy classifier, a modified mapping-constrained agglomerative clustering algorithm is devised to reveal a compact data configuration from the acceleration data. In addition, we investigate two different feature reduction methods, a feature subset selection and linear discriminate analysis. These two methods are used to determine the significant feature subsets and retain the characteristics of the data distribution in the feature space for training the neuro-fuzzy classifier. Experimental results have successfully validated the effectiveness of the proposed classifier.
AB - This paper presents a neuro-fuzzy classifer for activity recognition using one triaxial accelerometer and feature reduction approaches. We use a triaxial accelerometer to acquire subjects' acceleration data and train the neurofuzzy classifier to distinguish different activities/movements. To construct the neuro-fuzzy classifier, a modified mapping-constrained agglomerative clustering algorithm is devised to reveal a compact data configuration from the acceleration data. In addition, we investigate two different feature reduction methods, a feature subset selection and linear discriminate analysis. These two methods are used to determine the significant feature subsets and retain the characteristics of the data distribution in the feature space for training the neuro-fuzzy classifier. Experimental results have successfully validated the effectiveness of the proposed classifier.
UR - http://www.scopus.com/inward/record.url?scp=38149112664&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38149112664&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:38149112664
SN - 3540748725
SN - 9783540748724
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 395
EP - 400
BT - Entertainment Computing - ICEC 2007 - 6th International Conference, Proceedings
Y2 - 15 September 2007 through 17 September 2007
ER -