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Acceleration Noise Correction for Transfer Inference Using Accelerometers on Mobile Devices

  • Hisao Setoguchi
  • Yuzo Okamoto
  • Naoki Iketani
  • Kenta Cho
  • Masanori Hattori
  • Takahiro Kawamura

Abstract

The acceleration noise generated in the ordinary usage of mobile devices (e.g. when “taking out” the devices or operating them) interferes with estimation of the means of migration using accelerometers on the devices. We developed a correction method for the noise generated when users take out devices, change their posture, and operate the devices. The method uses the changes of acceleration and the operation events acquired from the operating systems of the mobile devices to detect the period of noises. The result of evaluation shows that the method using the acceleration changes improves the precision of the context inference approximately 5 %, and the method using the operation events corrects the inference mistaking resting for boarding.

Keywords

Mobile Device Hide Markov Model Linear Discriminant Analysis Correction Method Acceleration Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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    Cho, K., Iketani, N., Setoguchi, H., & Hattori, M. (2009). Human activity recognizer for mobile devices with multiple sensors. In Proc. of the 2009 symposia and workshops on ubiquitous, autonomic and trusted computing (pp. 114–119). CrossRefGoogle Scholar
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    Liu, H. H. S., & Pang, G. K. H. (2001). Accelerometer for mobile robot positioning. IEEE Transactions on Industry Applications, 37(3), 812–819. CrossRefGoogle Scholar
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    Lukowicz, P., Ward, J., Junker, H., Stäger, M., & Tröster, G. (2004). Recognizing workshop activity using body worn microphones and accelerometers. Pervasive Computing, 18–32. Google Scholar

Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  • Hisao Setoguchi
    • 1
  • Yuzo Okamoto
    • 1
  • Naoki Iketani
    • 1
  • Kenta Cho
    • 1
  • Masanori Hattori
    • 1
  • Takahiro Kawamura
    • 1
  1. 1.Corporate Research & Development CenterToshiba CorporationTokyoJapan

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