Paper Info
Title
Orientation-Compensative Signal Registration For Owner Authentication Using An Accelerometer
Abstract
Gait-based owner authentication using accelerometers has recently been extensively studied owing to the development of wearable electronic devices. An actual gait signal is always subject to change due to many factors including variation of sensor attachment. In this research, we tackle to the practical sensor-orientation inconsistency, for which signal sequences are captured at different sensor orientations. We present an iterative signal matching algorithm based on phase-registration technique to simultaneously estimate relative sensor-orientation and register the 3D acceleration signals. The iterative framework is initialized by using ID orientation-invariant resultant signals which are computed from 3D signals. As a result, the matching algorithm is robust to any initial sensor-orientation. This matching algorithm is used to match a probe and a gallery signals in the proposed owner authentication method. Experiments using actual gait signals under various conditions such as different days, sensors, weights being carried, and sensor orientations show that our authentication method achieves positive results..
Year
DOI
Venue
2014
10.1587/transinf.E97.D.541
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Keywords
Field
DocType
biometric authentication, dynamic programming, gait, accelerometer, sensor-orientation inconsistency
Computer vision,Dynamic programming,Authentication,Gait,Accelerometer,Computer science,Wearable Electronic Device,Acceleration,Artificial intelligence,Biometrics,Blossom algorithm
Journal
Volume
Issue
ISSN
E97D
3
1745-1361
Citations 
PageRank 
References 
4
0.47
27
Authors
5
Name
Order
Citations
PageRank
Trung Ngo Thanh110710.57
Yasushi Makihara2101270.67
Nagahara Hajime344550.66
Yasuhiro Mukaigawa447853.31
Yasushi Yagi51752186.22