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 an AmI testbed using Raspberry Pi mounted on Raspbian OS. For evaluation, we considered respiratory rate and heart rate metrics. We carried out an experiments and clustered sensed data by k-means clustering algorithm. From experimental results, we found that the implemented AmI testbed gives a good effect to human during sleeping.
CITATION STYLE
Obukata, R., Cuka, M., Elmazi, D., Oda, T., Matsuo, K., & Barolli, L. (2018). Implementation of an actor node for an ambient intelligence testbed: Evaluation and effects of actor node on human sleeping condition. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 6, pp. 98–106). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-59463-7_10
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