Abstract
In this paper we propose a two-phase methodology for designing datasets that can be used to test and evaluate activity recognition algorithms. The trade offs between time, cost and recognition performance is one challenge. The effectiveness of a dataset, which contrasts the incremental performance gain with the increase in time, efforts, and number and cost of sensors is another challenging area that is often overlooked. Our proposed methodology is iterative and adaptive and addresses issues of sensor use modality and its effect on overall performance. We present our methodology and provide an assessment for its effectiveness using both a simulation model and a real world deployment.
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., Kim, E.J., Hossain, S.: Scalable Approaches to Activity Recognition Research. In: 8th International Conference Pervasive 2010 Workshop (2010)
Kim, E.J., Helal, S., Cook, D.: Human Activity Recognition and Pattern Discovery. IEEE Pervasive Computing 9(1), 48–52 (2010)
Mann, W., Helal, S.: Smart Technology: A Bright Future for Independent Living. The Society for Certified Senior Advisors Journal 21, 15–20 (2003)
Intille, S.S., Larson, K., Tapia, E.M., Beaudin, J., Kaushik, P., Nawyn, J., Rockinson, R.: Using a live-in laboratory for ubiquitous computing research. In: Fishkin, K.P., Schiele, B., Nixon, P., Quigley, A. (eds.) PERVASIVE 2006. LNCS, vol. 3968, pp. 349–365. Springer, Heidelberg (2006)
Tapia, E.M., Intille, S.S., Lopez, L., Larson, K.: The design of a portable kit of wireless sensors for naturalistic data collection. In: Fishkin, K.P., Schiele, B., Nixon, P., Quigley, A. (eds.) PERVASIVE 2006. LNCS, vol. 3968, pp. 117–134. Springer, Heidelberg (2006)
Logan, B., Healey, J., Philipose, M., Tapia, E.M., Intille, S.S.: A long-term evaluation of sensing modalities for activity recognition. In: Krumm, J., Abowd, G.D., Seneviratne, A., Strang, T. (eds.) UbiComp 2007. LNCS, vol. 4717, pp. 483–500. Springer, Heidelberg (2007)
Washington State University Activity dataset, http://ailab.eecs.wsu.edu/casas/datasets.html
Crandall, A., Cook, D.: Coping with multiple residents in a smart environment. Journal of Ambient Intelligence and Smart Environments, 323–334
Phidgets plug & play sensors, http://www.phidgets.com/
Kasteren, T., Noulas, A., Englebienne, G., Krose, B.: Accurate Activity Recognition in a Home Setting. In: Proceedings of the Tenth International Conference on Ubiquitous Computing (Ubicomp 2008), Seoul, Korea, pp. 1–9 (2008)
Elfaham, A., Hagras, H., Helal, A., Hossain, S., Lee., J., Cook, D.: A Fuzzy Based Verification Agent for the PerSim Human Activity Simulator in Ambient Intelligent Environments. In: Proceedings of the IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 18-23 (2010)
Helal, A., Mendez-Vazquez, A., Hossain, S.: Specification and Synthesis of Sensory Datasets in Pervasive Spaces. In: Proceedings of the IEEE Symposium on Computers and Communications (ISCC 2009), Sousse, Tunisia, July 5-8 (2009)
Al-Karaki, J.N., Al-Mashaqbeh, G.A.: SENSORIA: A New Simulation Platform for Wireless Sensor Networks. In: Proceedings of the 2007 International Conference on Sensor Technologies and Applications, pp. 424–429. IEEE Computer Society, Los Alamitos (October 2007)
Hossain, S., Helal, A., Lee, J.W., Hagras, H., Alfaham, A., Cook, D.: PerSim – A Simulator for Human Activities in Pervasive Spaces, University of Florida Technical Report number REP-2010-485 (January 2010)
Jouve, W., Bruneau, J., Consel, C.: DiaSim: A parameterized simulator for pervasive computing applications. In: PERCOM 2009: Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications, pp. 1–3 (March 2009)
Antoine-Santoni, T., Santucci, J., Gentili, E.D., Costa, B.: Modelling & simulation oriented components of wireless sensor network using DEVS formalism. In: SpringSim 2007: Proceedings of the 2007 Spring Simulation Multiconference, pp. 299–306 (March 2007)
Persim – A simulator for human-activities in Pervasive Spaces. Project web site, http://www.icta.ufl.edu/projects_persim
SDDL – Sensory Dataset Description Language. Specifications and resources web site, http://www.icta.ufl.edu/persim/sddl/
Varshney, M., Bagrodia, R.: Detailed Models for Sensor Network Simulations and their Impact on Network Performance. In: Proceedings of the 7th ACM International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 70–77. ACM, New York (October 2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, E., Helal, S., Lee, J., Hossain, S. (2010). The Making of a Dataset for Smart Spaces. In: Yu, Z., Liscano, R., Chen, G., Zhang, D., Zhou, X. (eds) Ubiquitous Intelligence and Computing. UIC 2010. Lecture Notes in Computer Science, vol 6406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16355-5_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-16355-5_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16354-8
Online ISBN: 978-3-642-16355-5
eBook Packages: Computer ScienceComputer Science (R0)