All Outputs (2)

Clustering and nearest neighbour based classification approach for mobile activity recognition. (2016)
Journal Article
BASHIR, S.A., DOOLAN, D.C. and PETROVSKI, A. 2016. Clustering and nearest neighbour based classification approach for mobile activity recognition. Journal of mobile multimedia [online], 12(1-2), pages 110-124. Available from: https://journals.riverpublishers.com/index.php/JMM/article/view/4487

We present a hybridized algorithm based on clustering and nearest neighbour classifier for mobile activity recognition. The algorithm transforms a training dataset into a more compact and reduced representative set that lessens the computational cost... Read More about Clustering and nearest neighbour based classification approach for mobile activity recognition..

The effect of window length on accuracy of smartphone-based activity recognition. (2016)
Journal Article
BASHIR, S.A., DOOLAN, D.C. and PETROVSKI, A. 2016. The effect of window length on accuracy of smartphone-based activity recognition. IAENG international journal of computer science [online], 43(1), pages 126-136. Available from: http://www.iaeng.org/IJCS/issues_v43/issue_1/IJCS_43_1_15.pdf

One of the main approaches for personalization of activity recognition is the generation of the classification model from user annotated data on mobile itself. However, giving the resource constraints on such devices there is a need to examine the ef... Read More about The effect of window length on accuracy of smartphone-based activity recognition..