Name
Title | ||
|---|---|---|
The largest inertial sensor-based gait database and performance evaluation of gait-based personal authentication |
Abstract | ||
|---|---|---|
This paper presents the largest inertial sensor-based gait database in the world, which is made open to the research community, and its application to a statistically reliable performance evaluation for gait-based personal authentication. We construct several datasets for both accelerometer and gyroscope of three inertial measurement units and a smartphone around the waist of a subject, which include at most 744 subjects (389 males and 355 females) with ages ranging from 2 to 78 years. The database has several advantages: a large number of subjects with a balanced gender ratio, variations of sensor types, sensor locations, and ground slope conditions. Therefore, we can reliably analyze the dependence of gait authentication performance on a number of factors such as gender, age group, sensor type, ground condition, and sensor location. The results with the latest existing authentication methods provide several insights for these factors. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.patcog.2013.06.028 | Pattern Recognition |
Keywords | Field | DocType |
sensor location,latest existing authentication method,ground condition,largest inertial,sensor type,performance evaluation,inertial measurement unit,balanced gender ratio,gait database,gait-based personal authentication,ground slope condition,gait authentication performance | Inertial frame of reference,Gyroscope,Units of measurement,Authentication,Gait,Accelerometer,Ranging,Mathematics,Database | Journal |
Volume | Issue | ISSN |
47 | 1 | 0031-3203 |
Citations | PageRank | References |
53 | 2.33 | 29 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Trung Ngo Thanh | 1 | 107 | 10.57 |
| Yasushi Makihara | 2 | 1012 | 70.67 |
| Nagahara Hajime | 3 | 445 | 50.66 |
| Yasuhiro Mukaigawa | 4 | 478 | 53.31 |
| Yasushi Yagi | 5 | 1752 | 186.22 |