Analysis of Image Classification and Annotation Methods for Smartphone
Abstract: 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 researches- concerns 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 phone-based human activity. Existing technologies pertaining to smart phone-based researches in human activity recognition will be highlighted and discussed.
Keywords: Classification & Annotation algorithms, Human Activity Recognition HAR, Smart phones
How to Cite?: Lekhraj D. Vilhekar, Dr. M. B. Chandak, "Analysis of Image Classification and Annotation Methods for Smartphone", Volume 5 Issue 5, May 2016, International Journal of Science and Research (IJSR), Pages: 887-890, https://www.ijsr.net/getabstract.php?paperid=NOV163314, DOI: https://dx.doi.org/10.21275/NOV163314