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

Muhammad Muaaz, Claudia Nickel

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

37 Zitate (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.
OriginalspracheEnglisch
Titel2012 35th International Conference on Telecommunications and Signal Processing, TSP 2012 - Proceedings
Herausgeber (Verlag)IEEE
Seiten508-512
Seitenumfang5
ISBN (Print)9781467311182
DOIs
PublikationsstatusVeröffentlicht - 2012
Veranstaltung35th International Conference on Telecommunications and Signal Processing (TSP) 2012 - Parague, Tschechische Republik
Dauer: 3 Juli 20124 Juli 2012

Publikationsreihe

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

Konferenz

Konferenz35th International Conference on Telecommunications and Signal Processing (TSP) 2012
Land/GebietTschechische Republik
OrtParague
Zeitraum03.07.201204.07.2012

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