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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AP, SANE, SAT (Joint) |
2021-07-28 12:40 |
Online |
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 |
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