Abstract
Human activity has a life cycle that could be tracked to provide crucial information that increases activity recognition performance. Life cycle tracking also enables powerful and more versatile programming models over the sentience of human activities. This paper introduces a new activity recognition approach that is based on fuzzy logic and activity life cycle tracking. We conduct preliminary performance validation and show how activity life cycle tracking offers higher accuracy when compared to the traditional approach of no-life cycle activity recognition.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Helal, S., Mokhtari, M., Abdulrazak, B.H.: The engineering handbook on smart technology for aging, disability and independence, pp. 1–26. John Wiley and Sons (2007)
Kim, E., Helal, S.: A Practical Activity Recognition Approach Based on the Generic Activity Framework. The International Journal of E-Health and Medical Communications (IJEHMC)Â 3(3) (2012)
Kasteren, T., Noulas, A., Englebienne, G., Krose, B.: Accurate Activity Recognition in a Home Setting. In: Proc. of the Tenth International Conference on Ubiquitous Computing, Korea, pp. 1–9 (2008)
Abraham, A.: Rule-based Expert Systems. In: Sydenhamand, P.H., Thorn, R. (eds.) Handbook of Measuring System Design, pp. 909–919. John Wiley & Sons (2005)
Novak, V., Perfilieva, I., Mockor, J.: Mathematical principles of fuzzy logic. Kluwer Academic, Dodrecht (1999)
Ceyon, Korea, http://www.ceyon.co.kr/
Phidget, USA, http://www.phidgets.com
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, E., Helal, S. (2013). Fuzzy Logic Based Activity Life Cycle Tracking and Recognition. In: Biswas, J., Kobayashi, H., Wong, L., Abdulrazak, B., Mokhtari, M. (eds) Inclusive Society: Health and Wellbeing in the Community, and Care at Home. ICOST 2013. Lecture Notes in Computer Science, vol 7910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39470-6_32
Download citation
DOI: https://doi.org/10.1007/978-3-642-39470-6_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39469-0
Online ISBN: 978-3-642-39470-6
eBook Packages: Computer ScienceComputer Science (R0)