The largest inertial sensor-based gait database and performance evaluation of gait-based personal authentication

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 gyro...

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Vydáno v:Pattern recognition Ročník 47; číslo 1; s. 228 - 237
Hlavní autoři: Ngo, Thanh Trung, Makihara, Yasushi, Nagahara, Hajime, Mukaigawa, Yasuhiro, Yagi, Yasushi
Médium: Journal Article
Jazyk:angličtina
Vydáno: Kidlington Elsevier Ltd 01.01.2014
Elsevier
Témata:
Age
Applied sciences
Authentication
Cryptography
Exact sciences and technology
Gait
Gait-based owner authentication
Grounds
Inertial
Inertial sensor
Information, signal and communications theory
Large-scale database
Performance evaluation
Sensors
Signal and communications theory
Telecommunications and information theory
Performance evaluation
Inertial sensor
Large-scale database
Gait-based owner authentication
Range finding
Ground based measurement
Measurement sensor
Sex
Statistical method
Authentication
Database
Gyroscope
Localization
Smartphone
ISSN:0031-3203, 1873-5142
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Shrnutí: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. •We present the world largest inertial sensor-based database to the community.•Based on the database, females have a better recognition performance than males.•People have the best recognition performance at their twenties.•An accelerometer has a better recognition performance than a gyroscope.
Bibliografie:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0031-3203
1873-5142
DOI:10.1016/j.patcog.2013.06.028