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Paper Abstract and Keywords
Presentation 2020-05-29 16:10
Gait identification and authentication using LSTM based on 3-axis acceleration of smartphone
Yuji Watanabe, Masaki Kimura (Nagoya City Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Gait identification and authentication are performed using recurrent neural networks and LSTM (Long Short-Term Memory) for 3-axis acceleration during walking obtained with a smartphone. First, the acceleration on walking for 21 subjects is recorded in two holding situations with the smartphone in the pocket or while looking at the screen. The acceleration is directly input to the LSTM to learn and perform identification and authentication. It was confirmed that the identification using LSTM has better performance than the conventional method of extracting features.
Keyword (in Japanese) (See Japanese page) 
(in English) Gait Authentication / LSTM / Smart Phone / 3-Axis Acceleration / Biometrics / / /  
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Conference Information
Committee IEICE-MI IEICE-IE IEICE-SIP IEICE-BioX IST ME  
Conference Date 2020-05-28 - 2020-05-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image and signal processing/analysis/AI technology, and their application 
Paper Information
Registration To IEICE-BioX 
Conference Code 2020-05-MI-IE-SIP-BioX-IST-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Gait identification and authentication using LSTM based on 3-axis acceleration of smartphone 
Sub Title (in English)  
Keyword(1) Gait Authentication  
Keyword(2) LSTM  
Keyword(3) Smart Phone  
Keyword(4) 3-Axis Acceleration  
Keyword(5) Biometrics  
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1st Author's Name Yuji Watanabe  
1st Author's Affiliation Nagoya City University (Nagoya City Univ.)
2nd Author's Name Masaki Kimura  
2nd Author's Affiliation Nagoya City University (Nagoya City Univ.)
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Speaker Author-1 
Date Time 2020-05-29 16:10:00 
Presentation Time 20 minutes 
Registration for IEICE-BioX 
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Volume (vol) vol.44 
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