Orientation and Displacement Detection for Smartphone Device Based IMUs. Suprem, A., Deep, V., & Elarabi, T. IEEE Access, 5:987–997, 2017. doi abstract bibtex Commonly, navigation uses global positioning system/network (GPS) signals to determine location. In addition, GPS data can be collected over time to determine the path taken. In spite of the ubiquity of GPS signals on the earth's surface, there are certain locations where GPS signals are not available, such as inside buildings or tunnels. Therefore, to determine accurate positioning in areas where the GPS signals are unavailable, an inertial measurement unit (IMU) can be used in conjunction with the GPS data. Modern IMUs are small enough to be contained in Microelectromechanical systems (MEMS) chips, including smartphone devices, such as iPhones. This paper studies the integration between the GPS signal and the collected data from smartphones' MEMS sensors. It also investigates the possibility of using the integrated GPS/MEMS information to estimate route when the GPS signal is missing. We propose estimating the missing GPS signal by sensor integration of smartphone data. This paper would enhance the GPS navigation to determine exact positions even in the case of signal failures. Modern IMUs are expensive, and this paper shows that GPS/IMU integration can be accomplished with off-the-shelf navigational components. This paper proposes a novel technique for estimating the missing GPS route by integrating data from the sensors available in modern smartphones.
@article{suprem_orientation_2017,
title = {Orientation and {Displacement} {Detection} for {Smartphone} {Device} {Based} {IMUs}},
volume = {5},
copyright = {All rights reserved},
issn = {2169-3536},
doi = {10.1109/ACCESS.2016.2631000},
abstract = {Commonly, navigation uses global positioning system/network (GPS) signals to determine location. In addition, GPS data can be collected over time to determine the path taken. In spite of the ubiquity of GPS signals on the earth's surface, there are certain locations where GPS signals are not available, such as inside buildings or tunnels. Therefore, to determine accurate positioning in areas where the GPS signals are unavailable, an inertial measurement unit (IMU) can be used in conjunction with the GPS data. Modern IMUs are small enough to be contained in Microelectromechanical systems (MEMS) chips, including smartphone devices, such as iPhones. This paper studies the integration between the GPS signal and the collected data from smartphones' MEMS sensors. It also investigates the possibility of using the integrated GPS/MEMS information to estimate route when the GPS signal is missing. We propose estimating the missing GPS signal by sensor integration of smartphone data. This paper would enhance the GPS navigation to determine exact positions even in the case of signal failures. Modern IMUs are expensive, and this paper shows that GPS/IMU integration can be accomplished with off-the-shelf navigational components. This paper proposes a novel technique for estimating the missing GPS route by integrating data from the sensors available in modern smartphones.},
journal = {IEEE Access},
author = {Suprem, A. and Deep, V. and Elarabi, T.},
year = {2017},
keywords = {Acceleration, Accelerometers, GPS signal ubiquity, Global Positioning System, Global positioning system, Gyroscopes, IMU integration, MEMS sensor, Magnetic devices, Magnetometers, Sensors, access denied, displacement detection, earth surface, inertial measurement unit, inertial navigation, microelectromechanical system chip, micromechanical devices, navigation, off-the-shelf navigational component, orientation detection, pedestrian tracking, signal failure, signal processing, smart phones, smartphone device-based IMU},
pages = {987--997}
}
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Modern IMUs are small enough to be contained in Microelectromechanical systems (MEMS) chips, including smartphone devices, such as iPhones. This paper studies the integration between the GPS signal and the collected data from smartphones' MEMS sensors. It also investigates the possibility of using the integrated GPS/MEMS information to estimate route when the GPS signal is missing. We propose estimating the missing GPS signal by sensor integration of smartphone data. This paper would enhance the GPS navigation to determine exact positions even in the case of signal failures. Modern IMUs are expensive, and this paper shows that GPS/IMU integration can be accomplished with off-the-shelf navigational components. 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