Presentation 2022-05-20
User identification on Walking by Deep Learning Based on 3-axis Acceleration after Coordinate Transformation of Smartphone
Pengfei Yang, Qun Yang, Yuji Watanabe,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Gait Identification / Coordinate Transformation / Deep Learning / Smartphone / 3-axis Acceleration
Paper # SIP2022-17,BioX2022-17,IE2022-17,MI2022-17
Date of Issue 2022-05-12 (SIP, BioX, IE, MI)

Conference Information
Committee SIP / BioX / IE / MI / ITE-IST / ITE-ME
Conference Date 2022/5/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kumamoto University Kurokami Campus
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yukihiro Bandou(NTT) / Hitoshi Imaoka(NEC) / Kazuya Kodama(NII) / Hidekata Hontani(Nagoya Inst. of Tech.)
Vice Chair Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) / Takayuki Nakachi(Ryukyu Univ.) / Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(SECOM) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) / Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.)
Secretary Toshihisa Tanaka(Xiaomi) / Takayuki Nakachi(Takushoku Univ.) / Masatsugu Ichino(Tokyo Univ. Agri.&Tech.) / Naoyuki Takada(KDDI Research) / Hiroyuki Bandoh(MitsubishiElectric) / Toshihiko Yamazaki(KDDI Research) / Hideaki Haneishi(Nagoya Inst. of Tech.) / Takayuki Kitasaka(Yamaguchi Univ.) / (Univ. of Hyogo)
Assistant Taichi Yoshida(UEC) / Seisuke Kyochi(Univ. of Kitakyushu) / Hiroyuki Suzuki(Gunma Univ) / Akihiro Hayasaka(NEC) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST)

Paper Information
Registration To Technical Committee on Signal Processing / Technical Committee on Biometrics / Technical Committee on Image Engineering / Technical Committee on Medical Imaging / 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) 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
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.)
Date 2022-05-20
Paper # SIP2022-17,BioX2022-17,IE2022-17,MI2022-17
Volume (vol) vol.122
Number (no) SIP-28,BioX-29,IE-30,MI-31
Page pp.pp.85-90(SIP), pp.85-90(BioX), pp.85-90(IE), pp.85-90(MI),
#Pages 6
Date of Issue 2022-05-12 (SIP, BioX, IE, MI)