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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AP, SANE, SAT
(Joint)
2021-07-28
12:40
Online   Microwave Blood Pressure Estimation Using Machine Learning
Kota Sasaki, Naoki Honma, Kentaro Murata, Morio Iwai, Koichiro Kobayashi (Iwate Univ.), Atsushi Sato (EQUOS RESEARCH) AP2021-27 SANE2021-17
This report proposes and experimentally assesses a non-contact blood pressure estimation method using a microwave and KN... [more] AP2021-27 SANE2021-17
pp.19-24(AP), pp.12-17(SANE)
SRW 2021-06-21
14:40
Online Online [Invited Talk] Adaptive Array Algorithm for Vital-Sign Detection Suitable for Low Microwave Band
Naoki Honma, Kentaro Murata, Morio Iwai, koichiro Kobayashi (Iwate Univ.), Atsushi Sato (EQUOS RESEARCH) SRW2021-11
 [more] SRW2021-11
pp.43-48
SIS, ITE-BCT 2020-10-01
14:00
Online Online An FPGA Implementation of Human Recognition using MRCoHOG Features
Yuya Nagamine, Kazuki Yoshihiro (Kyutech), Masatoshi Shibata, Hideo Yamada (EQUOS RESEARCH), Shuichi Enokida, Hakaru Tamukoh (Kyutech) SIS2020-16
In this research, we design a hardware of human recognition using Multiresolution Co-occurrence Histograms of Oriented G... [more] SIS2020-16
pp.35-39
AP, RCS
(Joint)
2019-11-22
13:10
Saga Saga Univ. [Invited Lecture] Simultaneous Heartbeat Detection of Multiple Targets Using Amplitude Equivalent Component in Pseudo-Arctangent Demodulation
Shun Hasebe, Naoki Honma, Koichiro Kobayashi, Morio Iwai (Iwate Univ.), Atsushi Sato (EQR) AP2019-135 RCS2019-230
In this report, we investigate a simultaneous heartbeat detection method of multiple targets using a MIMO (Multiple-Inpu... [more] AP2019-135 RCS2019-230
pp.157-162(AP), pp.151-156(RCS)
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
13:30
Okinawa Okinawa Institute of Science and Technology Hybrid Reinforcement and Imitation Learning for Human-Like Agents
Rousslan Fernand Julien Dossa, Xinyu Lian (Kobe Uni), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Uni) NC2019-16 IBISML2019-14
Reinforcement learning methods achieve performance superior to humans in a wide range of complex tasks and uncertain env... [more] NC2019-16 IBISML2019-14
pp.69-74(NC), pp.91-96(IBISML)
CCS 2018-11-23
10:50
Hyogo Kobe Univ. A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning
Xinyu Lian, Rousslan Fernand Julien Dossa (Kobe Univ.), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-41
Reinforcement learning (RL) makes it possible to build an efficient agent that handles tasks in complex and uncertain en... [more] CCS2018-41
pp.45-50
 Results 1 - 6 of 6  /   
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