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Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
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Indoor geopointing is a mobile computing field of application where high resolution compass data is required, in order to reliably identify digital objects on a map or within a scene. When mobile application developers wish to implement geopointing applications, they are hindered by the limited accuracy and reliability of the orientation sensors that are included in today's smartphones. Calibration issues and magnetic field interference are the two major influence factors that distort the data which is generated by the compass sensor. In this paper, we describe a combination of different techniques that we have developed to smoothen the orientation information that is produced by the compass sensor of an off-the-shelf smartphone. Our elaborations include filter functions that significantly enhance the orientation sensor's reliability and thus pave the way for reliable and stable geopointing applications.