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.
|Name||2012 35th International Conference on Telecommunications and Signal Processing, TSP 2012 - Proceedings|
|Conference||35th International Conference on Telecommunications and Signal Processing (TSP) 2012|
|Period||03.07.2012 → 04.07.2012|
- authentication on mobile devices
- gait recognition