Real Time Change Point Detection of a Patient in Smart Home using SEP Algorithm

Change Point Detection (CPD) is that the matter of discovering time points at which the behaviour of a statistic changes abruptly. we detect some actions nonparametric change point detection algorithm called SEP, which uses Separation distance as a divergence measure to detect change points in high-dimensional statistic. Through experiments on artificial and real-world datasets, we demonstrate the usefulness of the proposed method compared with existing method. Change points are abrupt variations in statistic data. Such abrupt changes may represent transitions that occur between states. Detection of change points is useful in modelling and prediction of your time series and is found in application areas like medical condition monitoring, global action detection, speech and image analysis, and act analysis. This survey article enumerates, categorizes, and compares many of the methods that are proposed to detect change points in statistic. The methods examined include both supervised and unsupervised algorithms that are introduced and evaluated.