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- W2562524866 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 design and implementation of a testbed for AmI using Raspberry Pi mounted on Raspbian OS. We analyze the performance of mean shift clustering algorithm considering sensing data. For evaluation we considered respiratory rate and heart rate metrics. The simulation results show that the mean shift clustering algorithm has a good performance." @default.
- W2562524866 created "2017-01-06" @default.
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- W2562524866 date "2016-09-01" @default.
- W2562524866 modified "2023-09-26" @default.
- W2562524866 title "Performance Evaluation of an Ambient Intelligence Testbed for Improving Quality of Life: Evaluation Using Mean Shift Clustering Algorithm" @default.
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- W2562524866 doi "https://doi.org/10.1109/nbis.2016.21" @default.
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