Muhammad Muaaz, C. Nickel,
"Influence of different walking speeds and surfaces on accelerometer-based biometric gait recognition," /Telecommunications and Signal Processing"
: Proceedings of 35th International Conference on Telecommunications and Signal Processing (TSP), Seite(n) 508-512, 7-2012
Original Titel:
Influence of different walking speeds and surfaces on accelerometer-based biometric gait recognition," /Telecommunications and Signal Processing
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of 35th International Conference on Telecommunications and Signal Processing (TSP)
Englische Kurzfassung:
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.
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