Cell-phone activity monitoring for human behavioral classification using hidden Markov model

In this modern era, mobile phone has great impact on daily life and is used for exchange of information in the form of text, audio, email and images. Though it has many positive impacts but its negative impact in teenagers can not be neglected. These negative impact can be reduced by continuous monitoring. This paper presents a novel user defined system model to detect abnormal behavior of cell phone user using Hidden Markov Model.