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 language | English |
|---|---|
| Title of host publication | 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing |
| Volume | II |
| DOIs | |
| Publication status | Published - 1 Dec 2005 |
| MoE publication type | A4 Article in a conference publication |
| Event | 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States Duration: 18 Mar 2005 → 23 Mar 2005 |
Conference
| Conference | 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 |
|---|---|
| Country | United States |
| City | Philadelphia, PA |
| Period | 18/03/05 → 23/03/05 |
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Identifying users of portable devices from gait pattern with accelerometers. / Mäntyjärvi, Jani; Lindholm, Mikko; Vildjiounaite, Elena; Mäkelä, Satu Marja; Ailisto, Heikki.
2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing. Vol. II 2005. 1415569.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Identifying users of portable devices from gait pattern with accelerometers
AU - Mäntyjärvi, Jani
AU - Lindholm, Mikko
AU - Vildjiounaite, Elena
AU - Mäkelä, Satu Marja
AU - Ailisto, Heikki
N1 - CA2: 1100 CA: ELE
PY - 2005/12/1
Y1 - 2005/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33646811518&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2005.1415569
DO - 10.1109/ICASSP.2005.1415569
M3 - Conference article in proceedings
AN - SCOPUS:33646811518
SN - 0-7803-8874-7
VL - II
BT - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing
ER -