Identifying users of portable devices from gait pattern with accelerometers

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249 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing
VolumeII
DOIs
Publication statusPublished - 1 Dec 2005
MoE publication typeA4 Article in a conference publication
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: 18 Mar 200523 Mar 2005

Conference

Conference2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
CountryUnited States
CityPhiladelphia, PA
Period18/03/0523/03/05

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Mäntyjärvi, J., Lindholm, M., Vildjiounaite, E., Mäkelä, S. M., & Ailisto, H. (2005). Identifying users of portable devices from gait pattern with accelerometers. In 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing (Vol. II). [1415569] https://doi.org/10.1109/ICASSP.2005.1415569