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Smartphone Sensor Reliability for Augmented Reality Applications

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Mobile and Ubiquitous Systems: Computing, Networking, and Services (MobiQuitous 2012)

Abstract

With increasing reliance on the location and orientation sensors in smartphones for not only augmented reality applications, but also for meeting government-mandated emergency response requirements, the reliability of these sensors is a matter of great importance. Previous studies measure the accuracy of the location sensing, typically GPS, in handheld devices including smartphones, but few studies do the same for the compass or gyroscope (gyro) sensors, especially in real-world augmented reality situations. In this study, we measure the reliability of both the location and orientation capabilities of three current generation smartphones: Apple iPhone 4 and iPhone 4s (iOS) phones, as well as a Samsung Galaxy Nexus (Android). Each is tested in three different orientation/body position combinations, and in varying environmental conditions, in order to obtain quantifiable information useful for understanding the practical limits of these sensors when designing applications that rely on them. Results show mean location errors of 10–30 m and mean compass errors around 10–30°, but with high standard deviations for both making them unreliable in many settings.

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References

  1. Azenkot, S., Ladner, R.E., Wobbrock, J.O.: Smartphone haptic feedback for nonvisual wayfinding. In: Computers and Accessibility, pp. 281–282. ACM (2011)

    Google Scholar 

  2. Blum, J.R., Bouchard, M., Cooperstock, J.R.: What’s around me? Spatialized audio augmented reality for blind users with a smartphone. In: Puiatti, A., Gu, T. (eds.) MobiQuitous 2011. LNICST, vol. 104, pp. 49–62. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  3. Blunck, H., Kjærgaard, M.B., Toftegaard, T.S.: Sensing and Classifying Impairments of GPS Reception on Mobile Devices. In: Lyons, K., Hightower, J., Huang, E.M. (eds.) Pervasive 2011. LNCS, vol. 6696, pp. 350–367. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  4. Constandache, I., Choudhury, R., Rhee, I.: Towards mobile phone localization without war-driving. In: INFOCOM, pp. 2321–2329. IEEE (2010)

    Google Scholar 

  5. Gotow, J.B., Zienkiewicz, K., White, J., Schmidt, D.C.: Addressing Challenges with Augmented Reality Applications on Smartphones. In: Cai, Y., Magedanz, T., Li, M., Xia, J., Giannelli, C. (eds.) Mobilware 2010. LNICST, vol. 48, pp. 129–143. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  6. Jones, W.: A compass in every smartphone. IEEE Spectrum 47(2), 12–13 (2010)

    Article  Google Scholar 

  7. Kjærgaard, M., Langdal, J., Godsk, T., Toftkjær, T.: EnTracked: energy-efficient robust position tracking for mobile devices. In: Mobisys, pp. 221–234. ACM Press, NY (2009)

    Chapter  Google Scholar 

  8. Ozcan, R., Orhan, F., Demirci, M.F., Abul, O.: An Adaptive Smoothing Method for Sensor Noise in Augmented Reality Applications on Smartphones. In: Venkatasubramanian, N., Getov, V., Steglich, S. (eds.) Mobilware 2011. LNICST, vol. 93, pp. 209–218. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  9. Priyantha, N., Miu, A., Balakrishnan, H., Teller, S.: The cricket compass for context-aware mobile applications. In: MobiCom, pp. 1–14. ACM, NY (2001)

    Google Scholar 

  10. Ruotsalainen, L., Kuusniemi, H., Chen, R.: Heading change detection for indoor navigation with a Smartphone camera. In: Indoor Positioning and Indoor Navigation, pp. 1–7. IEEE (September 2011)

    Google Scholar 

  11. Ruotsalainen, L., Kuusniemi, H., Chen, R.: Visual-aided Two-dimensional Pedestrian Indoor Navigation with a Smartphone. Global Positioning Systems 10(1), 11–18 (2011)

    Article  Google Scholar 

  12. Thiagarajan, A., Biagioni, J., Gerlich, T., Eriksson, J.: Cooperative transit tracking using smart-phones. In: Embedded Networked Sensor Systems, pp. 85–98. ACM, New York (2010)

    Google Scholar 

  13. Vaitl, C., Kunze, K., Lukowicz, P.: Does On-body Location of a GPS Receiver Matter? In: Body Sensor Networks, pp. 219–221. IEEE (June 2010)

    Google Scholar 

  14. von Watzdorf, S., Michahelles, F.: Accuracy of positioning data on smartphones. In: Workshop on Location and the Web, pp. 2:1–2:4. ACM, New York (2010)

    Google Scholar 

  15. Wing, M.: Consumer-Grade GPS Receiver Measurement Accuracy in Varying Forest Conditions. Research Journal of Forestry 5(2), 78–88 (2011)

    Article  Google Scholar 

  16. Zandbergen, P.: Accuracy of iPhone Locations: A Comparison of Assisted GPS, WiFi and Cellular Positioning. Transactions in GIS 13, 5–25 (2009)

    Article  Google Scholar 

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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Blum, J.R., Greencorn, D.G., Cooperstock, J.R. (2013). Smartphone Sensor Reliability for Augmented Reality Applications. In: Zheng, K., Li, M., Jiang, H. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40238-8_11

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  • DOI: https://doi.org/10.1007/978-3-642-40238-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40237-1

  • Online ISBN: 978-3-642-40238-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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