Context aware algorithm

Context-Aware Algorithm has been developed for Human Physical Movement Activity Recognition. This Algorithm internally takes the data from the different sensor devices as an input and provides classified data as an output to the application layer. The Algorithm shall have the capability to contain different context aware algorithms. This Context-Aware Algorithm is flexible and modular enough to be ported to any platform with minimal efforts. The Algorithm has been tested and developed on TI Sensor Tag which is based on CC2650 wireless MCU. In this paper, we have made this algorithm to be able to run on Android Platform as nowadays smart-phone platforms are equipped with a diverse and powerful set of sensors. This work is significant because the Human Movement activity recognition permits us to gain useful knowledge about the habits of millions of users passively just by having them carry cell phones in their pockets. Our work has a wide range of applications enabled by activity recognition, like automatic customization of the mobile devices behavior based upon a user's activity (e.g., sending calls directly to voice-mail, if a user is running) and generating a daily activity profile to determine if a user is performing a healthy amount of exercise.