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Knowledge and Systems Engineering pp 353–365Cite as

SigVer3D: Accelerometer Based Verification of 3-D Signatures on Mobile Devices

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 326))

Abstract

We present SigVer3D – a convenient authentication method for users of mobile devices with built-in accelerometers. The method works by analyzing streams of signals returned by a mobile device’s accelerometer when the user uses the device to draw his (her) signature in 3-D space. We cast authentication as a binary classification problem and train SVM classifiers to identify successful logins. We explore two types of features to represent signal streams, which can be computed very fast even in devices with limited processing power, and demonstrate their effectiveness using gesture data collected from a group of subjects. Experimental results show that the method can differentiate between genuine users and imposters with average EER (equal error rate) of 0.8%. Given the wide availability of accelerometers in mobile devices, the method provides a promising complement to existing mobile authentication systems.

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Author information

Authors and Affiliations

  1. Computer Science Department, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam

    Nguyen Ngoc Diep, Cuong Pham & Tu Minh Phuong

Authors
  1. Nguyen Ngoc Diep
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  2. Cuong Pham
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  3. Tu Minh Phuong
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Corresponding author

Correspondence to Nguyen Ngoc Diep .

Editor information

Editors and Affiliations

  1. Faculty of Information Technology, VNU University of Engineering and Technology, Hanoi, Vietnam

    Viet-Ha Nguyen

  2. Faculty of Information Technology, VNU University of Engineering and Technology, Hanoi, Vietnam

    Anh-Cuong Le

  3. School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

    Van-Nam Huynh

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Ngoc Diep, N., Pham, C., Minh Phuong, T. (2015). SigVer3D: Accelerometer Based Verification of 3-D Signatures on Mobile Devices. In: Nguyen, VH., Le, AC., Huynh, VN. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-319-11680-8_28

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  • DOI: https://doi.org/10.1007/978-3-319-11680-8_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11679-2

  • Online ISBN: 978-3-319-11680-8

  • eBook Packages: EngineeringEngineering (R0)

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