This paper deals with the effective ways to index the lifelog activities. The multi-faceted system of lifelogging incorporates and proposes to document day-to-day mundane activities. The availability of various gadgets to record one’s daily activities has increased the demand for the study of these unstructured egocentric data and auto typify them into specific frames of life. The main challenge is to develop algorithms which will automatically categorize everyday activities into labeled blocks of life. Our aim is to establish a comparative analysis of the existing algorithms.