Presentation 2020-05-29
Gait identification and authentication using LSTM based on 3-axis acceleration of smartphone
Yuji Watanabe, Masaki Kimura,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Gait Authentication / LSTM / Smart Phone / 3-Axis Acceleration / Biometrics
Paper # SIP2020-12,BioX2020-12,IE2020-12,MI2020-12
Date of Issue 2020-05-21 (SIP, BioX, IE, MI)

Conference Information
Committee MI / IE / SIP / BioX / ITE-IST / ITE-ME
Conference Date 2020/5/28(2days)
Place (in Japanese) (See Japanese page)
Place (in English) 会議ツールは未定
Topics (in Japanese) (See Japanese page)
Topics (in English) Image and signal processing/analysis/AI technology, and their application
Chair Yoshiki Kawata(Tokushima Univ.) / Hideaki Kimata(NTT) / Naoyuki Aikawa(TUS) / Akira Otsuka(IISEC) / Shigetoshi Sugawa(Tohoku Univ.) / Arai Hiroyuki(Nippon Institute of Technology)
Vice Chair Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidekata Hontani(Nagoya Inst. of Tech.) / Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Kazunori Hayashi(Osaka City Univ) / Yukihiro Bandou(NTT) / Tetsushi Ohki(Shizuoka Univ.) / Takahiro Aoki(Fujitsu Labs.) / Takayuki Hamamoto(Tokyo Univ. of Science)
Secretary Takayuki Kitasaka(Yamaguchi Univ.) / Hidekata Hontani(Univ. of Hyogo) / Kazuya Kodama(NTT) / Keita Takahashi(NHK) / Kazunori Hayashi(Hiroshima Univ.) / Yukihiro Bandou(Hosei Univ.) / Tetsushi Ohki(Univ. of Electro-Comm.) / Takahiro Aoki(SECOM) / Takayuki Hamamoto(Saitama Univ.) / (Panasonic)
Assistant Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST) / Kyohei Unno(KDDI Research) / Norishige Fukushima(Nagoya Inst. of Tech.) / Kenjiro Sugimoto(Waseda Univ.) / Daishi Watabe(Saitama Inst. of Tech.) / Ryota Horie(Shibaura Inst. of Tech.)

Paper Information
Registration To Technical Committee on Medical Imaging / Technical Committee on Image Engineering / Technical Committee on Signal Processing / Technical Committee on Biometrics / Technical Group on Information Sensing Technologies / Technical Group on Media Engineering
Language JPN
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
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.)
Date 2020-05-29
Paper # SIP2020-12,BioX2020-12,IE2020-12,MI2020-12
Volume (vol) vol.120
Number (no) SIP-38,BioX-37,IE-39,MI-40
Page pp.pp.55-60(SIP), pp.55-60(BioX), pp.55-60(IE), pp.55-60(MI),
#Pages 6
Date of Issue 2020-05-21 (SIP, BioX, IE, MI)