Presentation 2019-03-18
Development of Personal Identification Application Using Flick Input Features on Android Device
Toshiki Kobayashi, Yuji Watanabe,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) We have studied personal identification based on touch operation recorded by smartphone. In this study, assuming that there is personality in the characteristics of single tap and flick input at the time of inputting Japanese, we develop a communication chat application for Android device in order to acquire 12 features from the touch operation and identify person. We carry out two experiments to obtain training data and test data on five subjects using five Android devices that installed the application. For the obtained data, personal identification using neural network of TensorFlow resulted in an identification rate of 88.9%.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Personal Identification / Smart Phone / Flick Input / Neural Network / TensorFlow / Biometrics
Paper # BioX2018-61,PRMU2018-165
Date of Issue 2019-03-10 (BioX, PRMU)

Conference Information
Committee PRMU / BioX
Conference Date 2019/3/17(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Shinichi Sato(NII) / Kazuhiko Sumi(AGU)
Vice Chair Yoshihisa Ijiri(Omron) / Toru Tamaki(Hiroshima Univ.) / Hitoshi Imaoka(NEC) / Tetsushi Ohki(Shizuoka Univ.)
Secretary Yoshihisa Ijiri(NEC) / Toru Tamaki(Osaka Univ.) / Hitoshi Imaoka(Fujitsu Labs.) / Tetsushi Ohki(Univ. of Electro-Comm.)
Assistant Go Irie(NTT) / Yoshitaka Ushiku(Univ. of Tokyo) / Norihiro Okui(KDDI Research) / Daishi Watabe(Saitama Inst. of Tech.)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Biometrics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of Personal Identification Application Using Flick Input Features on Android Device
Sub Title (in English)
Keyword(1) Personal Identification
Keyword(2) Smart Phone
Keyword(3) Flick Input
Keyword(4) Neural Network
Keyword(5) TensorFlow
Keyword(6) Biometrics
1st Author's Name Toshiki Kobayashi
1st Author's Affiliation Nagoya City University(Nagoya City Univ.)
2nd Author's Name Yuji Watanabe
2nd Author's Affiliation Nagoya City University(Nagoya City Univ.)
Date 2019-03-18
Paper # BioX2018-61,PRMU2018-165
Volume (vol) vol.118
Number (no) BioX-512,PRMU-513
Page pp.pp.187-192(BioX), pp.187-192(PRMU),
#Pages 6
Date of Issue 2019-03-10 (BioX, PRMU)