Publikation

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

Outline:

M. Muaaz, C. Nickel - Influence of different walking speeds and surfaces on accelerometer-based biometric gait recognition - Telecommunications and Signal Processing (TSP), 2012, Parague, Tschechische Republik, 2012, pp. 508-512

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.