Identifying users of portable devices from gait pattern with accelerometers

Identifying users of portable devices from gait signals 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...

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Bibliographic Details
Published inProceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005 Vol. 2; pp. ii/973 - ii/976 Vol. 2
Main Authors Mantyjarvi, J., Lindholm, M., Vildjiounaite, E., Makela, S.-M., Ailisto, H.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Accelerometers
Biometrics
Error analysis
Fingerprint recognition
Frequency domain analysis
Legged locomotion
Object recognition
Smart phones
Statistical distributions
Testing
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ISBN9780780388741
0780388747
ISSN1520-6149
DOI10.1109/ICASSP.2005.1415569

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Summary:Identifying users of portable devices from gait signals 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. It was shown to be possible to identify users with this novel gait recognition method. Best equal error rate (EER=7%) was achieved with the signal correlation method, while the frequency domain method and two variations of the data distribution statistics method produced EER of 10%, 18% and 19%, respectively.
ISBN:9780780388741
0780388747
ISSN:1520-6149
DOI:10.1109/ICASSP.2005.1415569