Poster: MonoSense: An Energy Efficient Transportation Mode Detection System

Abstract

Transportation mode detection problem has been addressed by a number of recent systems using the ubiquitous mobile phones. Nevertheless, these studies either leverage different sensors, and/or multiple cell towers information. However, these sensors have high energy consumption, are limited to a small subset of phones, cannot work in certain areas (e.g. inside tunnels for GPS). In this paper, we present a transportation mode detection system, MonoSense, that leverages the phone serving cell information only. Our results show that MonoSense can achieve an average precision and recall of 89.26% and 89.84%, respectively in differentiating among stationary, walking, and driving modes.