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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MVE, VRSJ-SIG-MR, IPSJ-EC, HI-SIG-DeMO, VRSJ-SIG-CS 2023-10-27
16:40
Hokkaido   Pose Estimation for Human Wearing Loose-Fitting Clothes -- Creation of Training Data Using HFR Camera and Multiple LEDs --
Takayoshi Yamaguchi, Dan Mikami (Kogakuin Univ.), Seiji Matsumura, Naoki Saijo, Makio Kashino (NTT) MVE2023-32
The analysis of human movements using Pose Estimation techniques is becoming more and more popular. We aim at Pose Estim... [more] MVE2023-32
pp.58-63
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS 2023-05-19
16:05
Okinawa Okinawa Institute of Science and Technology (OIST)
(Primary: On-site, Secondary: Online)
Heart Rate Estimation Using a Combination of 3D LIDAR and MIMO Doppler Sensor
Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) SeMI2023-19
Non-invasive heart rate measurement using wireless sensors, such as Doppler sensors, has been a promising technique to d... [more] SeMI2023-19
pp.88-93
IA 2023-01-25
16:20
Osaka Osaka Umeda Campus, Kwansei Gakuin University (Osaka)
(Primary: On-site, Secondary: Online)
Implementation of an AR Virtual Space System with Dynamic Background Replacement Based on Estimated Depth
Yoshihiro Tsuboki, Tomoya Kawakami (Univ. of Fukui), Satoru Matsumoto, Tomoki Yoshihisa (Osaka Univ.), Yuuichi Teranishi (NICT/Osaka Univ.) IA2022-74
Augmented reality (AR) technology is attracting attention in various fields and is also used in the entertainment field,... [more] IA2022-74
pp.43-48
SRW, SeMI, CNR
(Joint)
2020-11-26
09:00
Online Online Doppler Frequency Detection Using Channel Impulse Response
Kazuma Hotta, Satoshi Denno, Hou Yafei (Okayama Univ.) SRW2020-25
With the spread of the Internet of Things (IoT), the detection of terminal movement has become an issue. In the IoT, the... [more] SRW2020-25
pp.1-6
AI 2015-12-18
11:00
Okinawa   Complaint Data Analysis to Estimate Issue Resolution Date
Yuta Sano, Kohei Yamaguchi, Tsunenori Mine (Kyushu Univ.) AI2015-31
Recently, there has been growing Government 2.0 movement which means local problems reported by citizens are published o... [more] AI2015-31
pp.31-36
AI 2015-06-18
14:05
Tokyo   Category Estimation of Complaint Reports about City Park
Yuta Sano, Kohei Yamaguchi, Tsunenori Mine (Kyushu Univ.) AI2015-11
Complaint reports have recently been publicly opened with the aim of accelerating Government 2.0 movement. According to ... [more] AI2015-11
pp.61-66
PRMU 2012-10-04
16:20
Chiba   Semantic Interpretation of Eye Movements Using Designed Structures of Displayed contents
Erina Ishikawa, Ryo Yonetani, Hiroaki Kawashima (Kyoto Univ.), Takatsugu Hirayama (Nagoya Univ.), Takashi Matsuyama (Kyoto Univ.) PRMU2012-60
We propose a novel framework to understand eye movements and user states, which actively utilizes semantic relations and... [more] PRMU2012-60
pp.47-52
AN, MoNA, USN
(Joint)
2011-01-21
14:00
Hiroshima Hiroshima City University Estimation of Movement Situation with Acceleration Sensor Based on Pattern Matching Technique
Michihiro Yamamoto, Eiji Kamioka (SIT) MoMuC2010-71
We have proposed an indoor location estimation system using only an acceleration sensor. Some problems, however, have no... [more] MoMuC2010-71
pp.67-72
AN, MoNA, USN
(Joint)
2011-01-21
14:20
Hiroshima Hiroshima City University A Consideration on Situation Estimation Method using Geomagnetic Sensor
Osamu Fukutani, Takahiro Koita (Doshisha Univ) MoMuC2010-72
Many smart phones have sensors and they are utilized for many applications, for example GPS uses users location informat... [more] MoMuC2010-72
pp.73-76
PRMU 2009-01-12
13:30
Tokyo NII An Estimation from Facial Expression based on Situational Information.
Shigekazu Chida, Jun Hakura, Masaki Kurematsu, Hamido Fujita (Iwate Prefectural Univ.) PRMU2008-198
This paper introduces a system that estimate emotion of users when interacting with a system to achieve better interacti... [more] PRMU2008-198
pp.55-58
 Results 1 - 10 of 10  /   
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