Influence of Different Walking Speeds and Surfaces on Accelerometer-Based Biometric Gait Recognition
2012 (English)In: 2012 35th International Conference on Telecommunications and Signal Processing, TSP 2012 - Proceedings, IEEE , 2012, 508-512 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
IEEE , 2012. 508-512 p.
Accelerometers, authentication on mobile devices, biometrics, gait recognition
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-105618DOI: 10.1109/TSP.2012.6256346ISI: 000308143100097ScopusID: 2-s2.0-84866930522ISBN: 978-1-4673-1118-2OAI: oai:DiVA.org:kth-105618DiVA: diva2:571539
2012 35th International Conference on Telecommunications and Signal Processing, TSP 2012;Prague;3 July 2012 through 4 July 2012
QC 201211232012-11-232012-11-232012-11-23Bibliographically approved