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Paper Abstract and Keywords
Presentation 2022-05-20 09:40
User identification on Walking by Deep Learning Based on 3-axis Acceleration after Coordinate Transformation of Smartphone
Pengfei Yang, Qun Yang, Yuji Watanabe (Nagoya City Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we first transform the 3-axis acceleration data of smart phone, which is left in our laboratory, from the device coordinate system into world coordinate system. Based on the transformed acceleration, we use various deep learnings, LSTM, BiLSTM, GRU, BiGRU, and CNN-LSTM for user identification. As a result, we found that the acceleration data of the previous research can be correctly transformed by the extended Kalman filter. We also confirmed that the user identification using deep learning can achieve a high identification rate even for the 3-axis acceleration after the coordinate transformation.
Keyword (in Japanese) (See Japanese page) 
(in English) Gait Identification / Coordinate Transformation / Deep Learning / Smartphone / 3-axis Acceleration / / /  
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Conference Information
Committee IEICE-SIP IEICE-BioX IEICE-IE IEICE-MI IST ME  
Conference Date 2022-05-19 - 2022-05-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Kumamoto University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IEICE-BioX 
Conference Code 2022-05-SIP-BioX-IE-MI-IST-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) User identification on Walking by Deep Learning Based on 3-axis Acceleration after Coordinate Transformation of Smartphone 
Sub Title (in English)  
Keyword(1) Gait Identification  
Keyword(2) Coordinate Transformation  
Keyword(3) Deep Learning  
Keyword(4) Smartphone  
Keyword(5) 3-axis Acceleration  
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1st Author's Name Pengfei Yang  
1st Author's Affiliation Nagoya City University (Nagoya City Univ.)
2nd Author's Name Qun Yang  
2nd Author's Affiliation Nagoya City University (Nagoya City Univ.)
3rd Author's Name Yuji Watanabe  
3rd Author's Affiliation Nagoya City University (Nagoya City Univ.)
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Speaker Author-3 
Date Time 2022-05-20 09:40:00 
Presentation Time 20 minutes 
Registration for IEICE-BioX 
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Volume (vol) vol.46 
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