Evaluating a new classification method using PCA to human activity recognition
Mrhamed Bilal Abidine, Belkacem Fergani · 2013
The ability to recognize human activities from sensed information is very important for ubiquitous computing applications using smart identification technologies. This paper addresses a new discriminative supervised method combining the classical Principal Components Analysis with the correlation criterion for performing activity recognition in a smart home. We conduct several experiments, demonstrate the achievement of our method and show its promising results using real world dataset.