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Committee Date Time Place Paper Title / Authors Abstract Paper #
(Joint) [detail]
Online Online Verification of gender identifiability and its sensitivity from heart rate data in Allstar heart rate variability big data analysis
Itaru Kaneko, Emi Yuda (Tohoku Univ.) NLP2021-85 MICT2021-60 MBE2021-46
We have verified the analysis of Allstar heart rate big data (big data of heart rate that we are analyzing). This time, ... [more] NLP2021-85 MICT2021-60 MBE2021-46
HIP 2020-12-22
Online Online Gender Estimation Method from Handwritten Characters Based on Deep Neural Network
Koting Wu, Sho Takizawa, Qiu Chen (Kogakuin Univ.) HIP2020-56
Humans can infer the gender of the writer from handwritten characters to a certain extent. In this paper, we propose a m... [more] HIP2020-56
PRMU 2009-10-23
Hiroshima Hiroshima Univ. Gender Identification Method Using Facial Features by Active Appearance Model.
Atsushi Higashi, Yohei Fukumizu, Hironori Yamauchi (Ritsumeikan Univ.) PRMU2009-89
Considering a communication between human and a computer, it is important to identify gender automatically to provide ap... [more] PRMU2009-89
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