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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Bibliographic Details
Published in:Pattern recognition Vol. 47; no. 1; pp. 228 - 237
Main Authors: Ngo, Thanh Trung, Makihara, Yasushi, Nagahara, Hajime, Mukaigawa, Yasuhiro, Yagi, Yasushi
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01.01.2014
Elsevier
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ISSN:0031-3203, 1873-5142
Online Access:Get full text
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