Name
Abstract | ||
|---|---|---|
This paper presents an approach to people identification using gait based on floor pressure data. By using a large area high resolution pressure sensing floor, we were able to obtain 3D trajectories of the center of foot pressures over a footstep which contain both the 1D pressure profile and 2D position trajectories of the COP. Based on the 3D COP trajectories a set of features are then extracted and used for people identification together with other features such as stride length and cadence. The Fisher linear discriminant is used as the classifier. Encouraging results have been obtained using the proposed method with an average recognition rate of 94% and false alarm rate of 3% using pair-wise footstep data from 10 subjects. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-88793-5_7 | EuroSSC |
Keywords | Field | DocType |
average recognition rate,fisher linear discriminant,gait via floor pressure,floor pressure data,false alarm rate,high resolution pressure,foot pressure,pressure profile,pair-wise footstep data,people identification,large area,high resolution,biometrics | Cadence,Data mining,STRIDE,Pattern recognition,Gait,Computer science,Speech recognition,Artificial intelligence,Biometrics,Constant false alarm rate,Linear discriminant analysis,Classifier (linguistics) | Conference |
Volume | ISSN | Citations |
5279 | 0302-9743 | 13 |
PageRank | References | Authors |
0.98 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gang Qian | 1 | 784 | 63.77 |
| Jiqing Zhang | 2 | 16 | 2.01 |
| Assegid Kidane | 3 | 61 | 7.43 |