Title :
Feature selection based on mutual information for human activity recognition
Author :
Fish, Benjamin ; Khan, Ammar ; Chehade, Nabil Hajj ; Chien, Chieh ; Pottie, Greg
Author_Institution :
Center for Embedded Networked Sensing, Univ. of California, Los Angeles, CA, USA
Abstract :
In this work, we consider a classification problem of 14 physical activities using a body sensor network (BSN) consisting of 14 tri-axial accelerometers. We use a tree-based classifier, and develop a feature selection algorithm based on mutual information to find the relevant features at every internal node of the tree. We evaluate our algorithm on 31 features per accelerometer (total of 434), and we present the results on 8 subjects with a 96% average accuracy.
Keywords :
accelerometers; body sensor networks; decision trees; gesture recognition; image classification; activity classification problem; body sensor network; feature selection; human activity recognition; mutual information; tree based classifier; triaxial accelerometers; Accelerometers; Accuracy; Approximation algorithms; Humans; Monitoring; Mutual information; Training; Accelerometers; Activity Classification; Feature Selection;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288232
