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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
BioX
(2nd)		 2012-08-28
11:00		 Tokyo Waseda Univ. Nishiwaseda Campus A Study on the Personal Authentication Using Sensor Data of Mobile Terminal
Hiroki Kasahara (Waseda Univ.), Masatsugu Ichino (UEC), Hideki Yoshii (SBTM), Kazuhiro Tsurumaru, Jiro Katto, Naohisa Komatsu (Waseda Univ.) 		In this Paper, we propose a method of personal authentication, using sensor data of a mobile terminal. First, we check t... [more]
LOIS, ICM 2012-01-20
11:00		 Kumamoto Sojo Univ. A Study on the Effectiveness of Cepstrum Analysis using Acceleration Sensor in Walking States Classification
Tomonori Ito, Satoyuki Uehara, Hiroki Kasahara (Waseda Univ), Masatsugu Ichino (UEC), Hideki Yoshii (SOFTBANK TELECOM), Kazuhiro Tsurumaru, Jiro Katto, Naohisa Komatsu (Waseda Univ) ICM2011-38 LOIS2011-63		 We will apply cepstrum analysis, which is often used as a voice recognition method, to classify walking states (gait) us... [more] ICM2011-38 LOIS2011-63
pp.39-44
IPSJ-CN, LOIS 2011-05-19
13:00		 Tokyo NTT Musashino R&D Center A Study on the Walking States Classification Method using Cycles of Acceleration Data
Hiroki Kasahara, Tomonori Ito (Waseda Univ.), Hideki Yoshii (SBTM), Kazuhiro Tsurumaru, Naohisa Komatsu (Waseda Univ.) LOIS2011-3		 In this paper, we propose a method that classifies walking condition into three states, walking on the flat ground, goin... [more] LOIS2011-3
pp.21-26
LOIS 2011-03-04
10:55		 Okinawa Ishigaki IT business support center A Study on the Walking States Classification Method using LPC cepstrum of Acceleration Data
Hayato Shirai, Hiroki Kasahara, Tomonori Ito (Waseda Univ.), Hideki Yoshii (SBTM), Naohisa Komatsu (Waseda Univ.) LOIS2010-85		 In this paper, we propose a method that classifies acceleration data into walking states by using LPC cepstrum.Walking s... [more] LOIS2010-85
pp.119-124
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