Design of a Context-Aware Mobile System Using Sensors

Abstract

Recently, there are many applications on a smartphone which lead you convenient life such as navigation, recorder and web browser. However, we should launch these applications ourselves when we want to use one of them. If smartphone has a lot of applications it is quite painful searching by screen touch. In this paper, we present ASinM(Aware-Sensors in Mobiles), aware of our situations and phone usage patterns using sensors (e.g., GPS, accelerometers, compass, audio and light) and then, launch a proper application on smartphone so we can save our pain for searching a particular application when you want to use. Firstly, ASinM uses accelerometers to recognize user’s steps. After that, it judges whether user is walking or running for launches a kind of the step counter application or specific application chosen by the user. Also ASinM uses GPS to get user’s speed data. It launches such as the navigation application when the speed is higher than human running. Secondly, ASinM recognizes patterns of user’s phone usage and then, determines user’s situation such as absence. User can assign a particular application on each situation. We evaluate ASinM through real-world experiments using a prototype implementation on an Android based smartphone (e.g., GalaxyS) and show that it can launch an application properly several typical situations.

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology(No.20110002707).