02229nas a2200277 4500008004100000020002200041245005100063210005000114260001800164520146300182653001701645653001801662653001901680653002101699653001401720653001501734653002101749653002501770653002001795653001701815653002301832100002601855700001801881700001501899856003701914 2011 eng d a978-1-4577-0652-300aEvaluation of gyroscope-embedded mobile phones0 aEvaluation of gyroscopeembedded mobile phones aAnchorage, AK3 a
Many mobile phone applications such as pedometers and navigation systems rely on orientation sensors that most smartphones are now equipped with. Unfortunately, these sensors rely on measured accelerometer and magnetic field data to determine the orientation. Thus, accelerations upon the phone which arise from everyday use alter orientation information. Similarly, external magnetic interferences from indoor/urban settings affect the heading calculation, resulting in inaccurate directional information. The inability to determine the orientation during everyday use inhibits many potential mobile applications development. In this work, we exploit the newly built-in gyroscope in the Nexus S smartphone to address the interference problems associated with the orientation sensor. We first perform drift error analysis and apply this to gyroscope calculations. We test simple as well as complex rotations seen in walking applications. We lastly test the gyroscope's resistance to described interferences. Experiments show angular calculations with percent error no larger than 6% from actual rotated values. Further, we are able to determine the phone's orientation at any time, in magnetically-interfered areas, with the phone accelerating. With this accurate information we can virtually orient the phone to better use mobile-acquired data. This shows that the presence of a gyroscope in smartphones will certainly aid in numerous applications.
10aAcceleration10aAccelerometer10aAccelerometers10aAngular rotation10aGyroscope10aGyroscopes10aMagnetic sensors10aMobile communication10aMobile handsets10amobile phone10aOrientation sensor1 aBarthold, Christopher1 aSubbu, Kalyan1 aDantu, Ram uhttps://nsl.cse.unt.edu/node/242