Abstract
Ambient intelligence (AmI) deals with a new world of ubiquitous computing devices, where physical environments interact intelligently and unobtrusively with people. AmI environments can be diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, vehicles, tourist attractions, stores, sports facilities, and music devices. In this paper, we present the implementation and evaluation of actor node for AmI testbed. The actor node is eqquiped with a Reidan Shiki PAD and a fluorescent lamp. For evaluation, we considered respiratory rate and heart rate metrics. We carried out an experiment and clustered sensed data by k-means clustering algorithm. From experimental results, we found that the actor node of the implemented AmI testbed gives a good effect to human during sleeping.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Lindwer, M., Marculescu, D., Basten, T., Zimmermann, R., Marculescu, R., Jung, S., Cantatore, E.: Ambient intelligence visions and achievements: linking abstract ideas to real-world concepts. In: Design, Automation and Test in Europe Conference and Exhibition, pp. 10–15 (2003)
Gabel, O., Litz, L., Reif, M.: NCS Testbed for Ambient Intelligence. IEEE Int. Conf. Syst. Man Cybernet. 1, 115–120 (2005)
del Campo, I., Martinez, M.V., Echanobe, J., Basterretxea, K.: A Hardware/Software embedded agent for RealTime control of ambient-intelligence environments. In: IEEE International Conference on Fuzzy Systems, pp. 1–8 (2012)
Virtex 5 Family Overview. Xilinx Inc., San Jose (2009)
Bernardos, A.M., Tarrio, P., Casar, J.R.: CASanDRA: a framework to provide context acquisition Services ANd reasoning algorithms for ambient intelligence applications. In: International Conference on Parallel and Distributed Computing, Applications and Technologies, pp. 372–377 (2009)
Acampora, G., Cook, D., Rashidi, P., Vasilakos, A.V.: A survey on ambient intelligence in health care. Proc. IEEE 101(12), 2470–2494 (2013)
Aarts, E., Wichert, R.: Ambient intelligence. In: Technology Guide, pp. 244–249 (2009)
Aarts, E., de Ruyter, B.: New research perspectives on ambient intelligence. J. Ambient Intell. Smart Environ. 1(1), 5–14 (2009)
Vasilakos, A., Pedrycz, W.: Ambient Intelligence, Wireless Networking, and Ubiquitous Computing. Artech House Inc., Norwood (2006)
Sadri, F.: Ambient intelligence: a survey, ACM Computing Surveys, Article 36, vol. 43, issue no. 4, 66 pages (2011)
Na, S., Xumin, L., Yong, G.: Research on k-means clustering algorithm: an improved k-means clustering algorithm. In: Third International Symposium on Intelligent Information Technology and Security Informatics, pp. 63–67 (2010)
Jigui, S., Jie, L., Lianyu, Z.: Clustering algorithms research. J. Softw. 19(1), 48–61 (2008)
Abdul Nazeer, K.A., Sebastian, M.P.: Improving the accuracy and efficiency of the \(k\)-means clustering algorithm. In: Proceedings of the World Congress on Engineering, vol. 1, pp. 1–3 (2009)
Oda, T., Barolli, A., Sakamoto, S., Barolli, L., Ikeda, M., Uchida, K.: Implementation and experimental results of a WMN testbed in indoor environment considering LoS Scenario. In: The 29-th IEEE International Conference on Advanced Information Networking and Applications, pp. 37–42 (2015)
Oda, T., Barolli, L.: Experimental results of a Raspberry Pi based WMN testbed considering CPU frequency. In: The 30-th IEEE International Conference on Advanced Information Networking and Applications, pp. 981–986 (2016)
Oda, T., Elmazi, D., Yamada, M., Obukata, R., Barolli, L., Takizawa, M.: Experimental results of a Raspberry Pi based WMN testbed in indoor environment: a comparison study of LoS and NLoS scenarios. In: The 19-th International Conference on Network-Based Information Systems, pp. 9–14 (2016)
Obukata, R., Oda, T., Barolli, L.: Design of an ambient intelligence Testbed for improving quality of life. In: The 9-th International Symposium on Mining and Web, pp. 714–719 (2016)
Raspberry Pi Foundation. http://www.raspberrypi.org/
Raspbian: FrontPage. https://www.raspbian.org/
Sharp to Release Microwave Sensor Module. http://www.sharp-world.com/corporate/news/150625.html/
Corporate History - Francebed. http://www.francebed.co.jp/eng/about/history/index.html
Oda, T., Elmazi, D., Ishitaki, T., Barolli, A., Matsuo, K., Barolli, L.: Experimental results of a Raspberry Pi based WMN Testbed for multiple flows and distributed concurrent processing. In: The 10-th International Conference on Broadband and Wireless Computing, Communication and Applications, pp. 201–206 (2015)
Obukata, R., Oda, T., Elmazi, D., Ikeda, M., Matsuo, K., Barolli, L.: Performance evaluation of an AmI Testbed for improving QoL: evaluation using clustering approach considering parallel processing, lecture notes on data engineering and communications technologies. In: Proceedings of the 11-th International Conference on Broad-Band Wireless Computing, Communication and Applications, vol. 2, pp. 623–630 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Obukata, R., Cuka, M., Elmazi, D., Oda, T., Matsuo, K., Barolli, L. (2018). Implementation of an Actor Node for an Ambient Intelligence Testbed Considering Bed Temperature and Room Lighting: Its Effects on Human Sleeping Condition. In: Barolli, L., Woungang, I., Hussain, O. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-65636-6_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-65636-6_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65635-9
Online ISBN: 978-3-319-65636-6
eBook Packages: EngineeringEngineering (R0)