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Rapid development in computing technology brings computers and humans to be seamlessly integrated in future. The innovation of smart phone has driven computing era towards ubiquitous and pervasive computing. Recognizing human activity has garnered a lot of interest and has raised significant researchesconcerns in identifying contextual information useful to human activity recognition. The central elements of pervasive computing is, the ability to recognize and understand its users dynamically for which classification, object separation and annotation required. This paper discusses about classification algorithms used in smart phonebased human activity. Existing technologies pertaining to smart phone-based researches in human activity recognition will be highlighted and discussed.

Analysis of Image Classification and Annotation Methods for Smartphone