Abstract
Ubiquitous Computing with Context Awareness is emerging as a significant technology which is capable of supporting a wide variety of real world applications such as health care, environmental monitoring, security, etc. Most of the existing Context aware frameworks developed are single-application oriented. The key focus of our research work is to bring in multiple application support using single context aware framework. The proposed Ubiquitous Multi-Context Model (UMM) contains a new module “Context Categorizer” for spanning multiple real world applications. The designed model support non redundant information capturing and appropriate data sharing among multiple applications, by utilizing the potentials of wireless sensor networks. The implementation of the proposed model considers two relevant applications, health care and crowd behavior estimation, which are gaining attention nowadays.
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
Schilit, B., Adams, N., Want, R.: Contextaware computing applications. In: Proceedings of IEEE Workshop on Mobile Computing Systems and Applications, Santa Cruz, California, pp. 85–90 (December 1994)
Schilit, B., Theimer, M.: Disseminating Active Map Information to Mobile Hosts. IEEE Network 8(5), 22–32 (1994)
Schmidt, A., Aidoo, K.A., Takaluoma, A., Tuomela, U., Van Laerhoven, K., Van de Velde, W.: Advanced interaction in context. In: Proceedings of First International Symposium on Handheld and Ubiquitous Computing, Karlsruhe, Germany, pp. 89–101 (September 1999)
Chen, G., Kotz, D.: A survey of contextaware mobile computing research. Technical Report TR2000-381, Computer Science Department, Dartmouth College, Hanover, New Hampshire (November 2000)
Dey, A.K.: Understanding and using context. Personal and Ubiquitous Computing 5(1), 4–7 (2001)
Pascoe, J., Ryan, N., Morse, D.: Using While Moving: HCI issues in fieldwork. ACM Transactions on Computer-Human Interaction (TOCHI) 7(3), 417–437 (2000)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Ramesh, M.V., Anjitha, S., Rekha, P. (2012). Wireless Sensor Network Based Ubiquitous Multi-Context Modeling and Reasoning. In: Park, J., Jeong, YS., Park, S., Chen, HC. (eds) Embedded and Multimedia Computing Technology and Service. Lecture Notes in Electrical Engineering, vol 181. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5076-0_88
Download citation
DOI: https://doi.org/10.1007/978-94-007-5076-0_88
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-5075-3
Online ISBN: 978-94-007-5076-0
eBook Packages: EngineeringEngineering (R0)