@article{(Open Science Index):https://publications.waset.org/pdf/8520,
	  title     = {Classification Algorithms in Human Activity Recognition using Smartphones},
	  author    = {Mohd Fikri Azli bin Abdullah and  Ali Fahmi Perwira Negara and  Md. Shohel Sayeed and  Deok-Jai Choi and 
Kalaiarasi Sonai Muthu},
	  country	= {},
	  institution	= {},
	  abstract     = {Rapid advancement in computing technology brings
computers and humans to be seamlessly integrated in future. The
emergence of smartphone has driven computing era towards
ubiquitous and pervasive computing. Recognizing human activity has
garnered a lot of interest and has raised significant researches-
concerns in identifying contextual information useful to human
activity recognition. Not only unobtrusive to users in daily life,
smartphone has embedded built-in sensors that capable to sense
contextual information of its users supported with wide range
capability of network connections. In this paper, we will discuss the
classification algorithms used in smartphone-based human activity.
Existing technologies pertaining to smartphone-based researches in
human activity recognition will be highlighted and discussed. Our
paper will also present our findings and opinions to formulate
improvement ideas in current researches- trends. Understanding
research trends will enable researchers to have clearer research
direction and common vision on latest smartphone-based human
activity recognition area.},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {6},
	  number    = {8},
	  year      = {2012},
	  pages     = {362 - 369},
	  ee        = {https://publications.waset.org/pdf/8520},
	  url   	= {https://publications.waset.org/vol/68},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 68, 2012},
	}