Abstract
As the population aging is a global and unalterable trend, and the whole society is lacking of productive workforce to provide healthcare services, there is a pressure to develop smart services to support the elderly persons live a more independent life and improve the quality of open healthcare. This paper combines together the concepts of smart living environment and process management, we discuss a novel method called automatic process measurement that uses wireless technologies to collect process data for process mining and process analysis. Besides, this paper presents the real-time data acquisition system that is capable of measuring elderly people’s behavior and nurse’s behavior. We apply the system to three Linux-based platforms and evaluate it in laboratory and practical environment. The proposed system fulfills the measurement needs of collecting process data for automatic process modeling.
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
Academy of Finland website (February 17, 2011), http://www.aka.fi/Tiedostot/Tiedostot/MOTIVE/Hankekuvaukset/vesc-conso.pdf
Agrawal, R., Gunopuloa, D., Leymann, F.: Mining Process Models from Workflow Logs. In: Proceeding of the 6th International Conference on Extending Database Technology, pp. 469–483 (1998)
Bluetooth Org: Bluetooth Specification Version 4.0, vol.0 (2010), http://www.Bluetooth.com
Chan, M., Hariton, C., Ringeard, P., Campo, E.: Smart house automation system for the elderly and the disabled. In: IEEE International Conference on Systems, Man and Cybernetics, Intelligent Systems for the 21st Century, vol. 2, pp. 1586–1589 (1995)
Cook, J.E., Wolf, A.L.: Automating Process Discovery through Event-data Analysis. In: Proceeding of the 17th International Conference on Software Engineering, pp. 73–82 (1995)
Hori, T., Nishida, Y., Aizawa, H., Murakami, S., Mizoguchi, H.: Sensor Network for Supporting Elderly Care Home. Proceedings of IEEE Sensors 27(24-27), 575–578 (2004)
Kansal, A.: Bluetooth Primer. Los Angeles: Red-M (2002)
Li, Y., Feng, Y.-q.: An Automatic Business Process Modeling Method Based on Markov Transition Matrix in BPM. In: International Conference on Management Science and Engineering, ICMSE 2006, pp. 46–51 (2006)
Noury, N.: A smart sensor for the remote follow up of activity and fall detection of the elderly. In: 2nd Annual International IEEE-EMB Special Topic Conference on Microtechnologies in Medicine & Biology, pp. 314–317 (2002)
Pollack, M.E., Brown, L., Colbry, D., Orosz, C., Peintner, B., Ramakrishnan, S., Engberg, S., Matthews, J.T., Dubar-Jacob, J., McCarthy, C.E., Thrun, S., Montemerlo, M., Pineau, J., Roy, N.: Pearl: A mobile robotic assistance for the elderly. AAAI Technical Report WS-02-02 (2002)
Santos, V., Bartolomeu, P., Fonseca, J., Mota, A.: B-Live A Home Automation System for Disabled and Elderly People. In: International Symposium on Industrial Embedded Systems, pp. 333–336 (2007)
Van Der Aalst, W.M.P., Schonenberg, M.H., Song, M.: Time prediction based on process mining. Information Systems, Scopus 36(2), 450–475 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, Y., Martikainen, O., Pulli, P., Naumov, V. (2012). Developing a Real-Time Process Data Acquisition System for Automatic Process Measurement. In: Rautiainen, M., et al. Grid and Pervasive Computing Workshops. GPC 2011. Lecture Notes in Computer Science, vol 7096. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27916-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-27916-4_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27915-7
Online ISBN: 978-3-642-27916-4
eBook Packages: Computer ScienceComputer Science (R0)