Accuracy Assessment of Mobile Sensors for the Use of Height Determination
ISBN 978-85-88783-11-9
Authors
1Dalgin, S.; 2Dogru, A.O.
1ITU Email: semihdalgin@gmail.com
2ITU Email: ahmetozgur.dogru@gmail.com
Abstract
Location is one of the most significant data required by any location based services application. This requirement is provided by using GNSS devices or location sensors. The mobile electronic devices are mostly equipped by location sensors in order to determine the location of the user with a desired accuracy. However, these devices do not work accurately at indoor environment. Various researches and applications are developed in order to cover this deficiency particularly in terms of determination of the location. Main approaches on indoor positioning use RFID tags, Wi Fi, passive infrared sensors (PIR), light detectors, personal dead reckoning (PDR), sensors (gravity, accelerometer, magnetometer etc.) and barometers. Developing mobile device technology currently does not enable the user to determine 3 dimensional coordinates in a building. But one of these dimensions can be detected by the use of pressure sensor that integrated in smart phones. Pressure sensors are used to detect the air pressure changes. Using pressure sensors (barometer) is a reasonable way to determine the height of the user from a reference surface. However, smart phones have different variety of barometer with different types and models. In this case, knowing the accuracy of smart phones sensors, give us the accuracy of the third dimension of the user. The aim of this study is to prove the usability of the mobile sensors in order to determine third dimension of the users by using air pressure changes of it. Some parameters affect pressure sensor results. To determine the exact location of users, these effects should be removed. One of these factors is the accuracy of the pressure sensors. Hence, sensor characteristics should be known. To get this unknown parameter, three smart phone barometer sensors and one Bluetooth sensor accuracy will be assessed at this paper. The accuracy of these sensors is examined by a stable professional sensor. According to these accuracies the correction factors of smart phone sensors will be produced and the results tested by an android application.
Keywords
LBS; Android; Smartphones