|Title||Influence of different walking speeds and surfaces on accelerometer-based biometric gait recognition|
|Publication Type||Conference Paper|
|Year of Publication||2012|
|Authors||Muaaz, M., & Nickel C.|
|Conference Name||in Proceedings of 35th International Conference on Telecommunications and Signal Processing (TSP), 508-512|
|Keywords||Accelerometers, authentication on mobile devices, biometrics, gait recognition|
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.
Influence of different walking speeds and surfaces on accelerometer-based biometric gait recognition