Paper Info
Title
Identifying Users Of Portable Devices From Gait Pattern With Accelerometers
Abstract
Identifying users of portable devices from gait signal acquired with three-dimensional accelerometers was studied. Three approaches, correlation, frequency domain and data distribution statistics were used. Test subjects (N=36) walked with fast, normal and slow walking speeds in enrolment and test sessions on separate days wearing the accelerometer device on their belt, at back. Identifying the users with this novel gait recognition method showed to be possible. Best equal error rate (EER=7%) was achieved with signal correlation method, while frequency domain method and two variations of data distribution statistics method produced EER of 10%, 18% and 19%, respectively.
Year
DOI
Venue
2005
10.1109/ICASSP.2005.1415569
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING
Keywords
Field
DocType
gait analysis,pattern recognition,fingerprint recognition,testing,frequency domain analysis,object recognition,statistical analysis,three dimensional,signal processing,statistical distributions,accelerometers,frequency domain,biometrics
Frequency domain,Signal processing,Computer vision,Pattern recognition,Gait,Computer science,Accelerometer,Word error rate,Probability distribution,Gait analysis,Artificial intelligence,Preferred walking speed
Conference
ISSN
Citations 
PageRank 
1520-6149
150
10.30
References 
Authors
9
5
Search Limit
100150
Name
Order
Citations
PageRank
Jani Mäntyjärvi178084.00
Mikko Lindholm231626.41
Elena Vildjiounaite334732.45
Satu-Marja Mäkelä432527.34
Heikki Ailisto534729.72