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Gait Recognition as an Authentication Method for Mobile Devices.

Matei-Sorin Axente1, Ciprian Dobre1,2, Radu-Ioan Ciobanu1

  • 1Faculty of Automatic Control and Computers, University Politehnica of Bucharest, RO-060042 Bucharest, Romania.

Sensors (Basel, Switzerland)
|July 29, 2020
PubMed
Summary
This summary is machine-generated.

Protect your smartphone with gait recognition. This study uses motion sensors to identify users by their walking patterns, achieving over 90% accuracy for enhanced mobile security and data protection.

Keywords:
authenticationgait detectionmobile devicesprivacysmartphones

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Area of Science:

  • Computer Science
  • Mobile Security
  • Biometrics

Background:

  • Smartphones increasingly store sensitive personal data, necessitating robust security measures.
  • Current mobile security methods can be intrusive or vulnerable to sophisticated attacks.
  • Gait recognition offers a unique, passive biometric for continuous user authentication.

Purpose of the Study:

  • To propose and evaluate a non-intrusive gait recognition system for smartphone security.
  • To develop an architecture for gait recognition on the Android platform using device sensors.
  • To demonstrate the feasibility and accuracy of gait-based user identification on mobile devices.

Main Methods:

  • Utilized motion sensors (accelerometer, gyroscope) within Android devices to capture gait data.
  • Developed a statistical model based on gait patterns for individual user identification.
  • Implemented and tested the gait recognition algorithm in the Android environment.

Main Results:

  • Achieved user classification accuracy exceeding 90% across various activities.
  • Demonstrated effective identification using low sampling rates and short time intervals.
  • Validated the efficiency and feasibility of the proposed gait recognition mechanism.

Conclusions:

  • Gait recognition using smartphone motion sensors provides a highly accurate and non-intrusive security solution.
  • The proposed architecture is feasible for implementation on modern Android smartphones.
  • This technology enhances mobile data privacy and security against unauthorized access.