The elderly health monitoring platform based on spark
Min Dong, Huang Xinlong, Sheng Bi, Xiao Zeng, Pang Nana, Haoxi Liu, Tang Xue · 2015
With the explosion of sensor data, it is hard for traditional health monitoring platforms to process big data concurrently or analyze data online. This paper proposes a novel elderly health monitoring platform which introduces memory-based computation framework Spark to carry out the analysis of the data clustering. On the basis of parallelization of SMV detection algorithm, the proposed platform implements online analysis of real-time data stream using Spark Streaming. Experimental results show that with a large of number of users accessing, fall detection and clustering analysis can be achieved efficiently.