Influence of different walking speeds and surfaces on accelerometer-based biometric gait recognition

Muhammad Muaaz, Claudia Nickel

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

28 Citations (Scopus)

Abstract

This paper gives an insight about the influence of different walking speeds (slow, normal and fast) and surfaces (flat carpeted, grass, gravel and inclined) on gait recognition. Gait recognition is a type of biometric authentication that operates on behavioral characteristics of human beings. This research utilizes wearable sensors, and we have used a commercially available mobile device. Gait data is collected from 48 subjects for six different walk settings in two sessions on different days to measure same-day and cross-day performance. Gait cycles are extracted and compared using dynamic time warping as distance metric. Different parameter settings are evaluated to optimize the cycle extraction process.
Original languageEnglish
Title of host publication2012 35th International Conference on Telecommunications and Signal Processing, TSP 2012 - Proceedings
PublisherIEEE
Pages508-512
Number of pages5
ISBN (Print)9781467311182
DOIs
Publication statusPublished - 2012
Event35th International Conference on Telecommunications and Signal Processing (TSP) 2012 - Parague, Czech Republic
Duration: 3 Jul 20124 Jul 2012

Publication series

Name2012 35th International Conference on Telecommunications and Signal Processing, TSP 2012 - Proceedings

Conference

Conference35th International Conference on Telecommunications and Signal Processing (TSP) 2012
CountryCzech Republic
CityParague
Period03.07.201204.07.2012

Keywords

  • Accelerometers
  • authentication on mobile devices
  • biometrics
  • gait recognition

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