Physical Sciences and Mathematics Commons^™

Time Series Online Empirical Bayesian Kernel Density Segmentation: Applications In Real Time Activity Recognition Using Smartphone Accelerometer, Shuang Na

USF Tampa Graduate Theses and Dissertations

Time series analysis has been explored by the researchers in many areas such, as statistical research, engineering applications, medical analysis, and finance study. To represent the data more efficiently, the mining process is supported by time series segmentation. Time series segmentation algorithm looks for the change points between two different patterns and develops a suitable model, depending on the data observed in such segment. Based on the issue of limited computing and storage capability, it is necessary to consider an adaptive and incremental online segmentation method. In this study, we propose an Online Empirical Bayesian Kernel Segmentation (OBKS), which combines …