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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCS, CNR | 2023-11-05 14:40 |
Tokyo | Kogakuin University (Primary: On-site, Secondary: Online) |
Development of a human-friendly robot using a behavioral model based on emotion recognition Chika Kanesaki, Kenji Matsuzaka (NIT, UC)  CNR2023-14 HCS2023-76 |
In smooth communication between humans, the recognition and understanding of nonverbal information caused by emotions is... [more] | CNR2023-14 HCS2023-76 pp.38-44 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Modality-Independent Emotion Recognition Based on Hyper-Hemispherical Embedding and Latent Representation Unification Using Multimodal Deep Neural Networks Seiichi Harata, Takuto Sakuma, Shohei Kato (NIT) |
This study aims to obtain a mathematical representation of emotions (an emotion space) common to modalities. The propos... [more] |
|
| ASN, SRW (Joint) |
2018-11-05 13:00 |
Tokyo | Tokyo Denki University, Tokyo Senju Campus | [Poster Presentation]
Activity Recognition and Fall Detection System for the Elderly Using RFID Tags with Sensing Capability Koichi Toda, Norihiko Shinomiya (Soka Univ.) ASN2018-57 SRW2018-22 |
Japan has the higher proportion of the elderly than any other country in the world. Even though the aged population is i... [more] | ASN2018-57 SRW2018-22 pp.31-34(ASN), pp.7-10(SRW) |
| LOIS | 2018-03-02 14:15 |
Okinawa | Naha-City IT Souzoukan(Okinawa) | Assessing Effect of Care Treatments Using Face Emotion Analysis of Cognitive Computing Arashi Sako, Sachio Saiki, Masahide Nakamura (Kobe Univ.), Kiyoshi Yasuda (Chiba Rosai Hospital) LOIS2017-89 |
In 2017, the Japanese government declared to start ``scientific long-term care'' as a national policy. In the practice o... [more] | LOIS2017-89 pp.105-110 |
| SP | 2017-08-30 11:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
Emotion Recognition in Speech Using Deep Neural Network Li ShiChuan, Tomoki Ishikawa, Masahiro Niitsuma, Keisuke Imoto, Yoichi Yamashita (Ritsumeikan Univ.) SP2017-24 |
Speech conveys not only linguistic information but also paralinguistic and non-linguistic information such as emotions，a... [more] | SP2017-24 pp.25-28 |
| MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-07 09:30 |
Fukuoka | Kyusyu Univ. Ohashi Campus | Effect of target visibility on eye movement during object recognition task Sakaguchi Hideho (NAIST/ATR), Utsumi Akira (ATR), Susami Kenji (ATR/Kinki University), Tadahisa Kondo (Kogakuin University), Kambara Makayuki (NAIST/ATR), Hagita Norihiro (ATR/NAIST) IMQ2016-41 IE2016-156 MVE2016-64 |
We conducted an experiment to track eye movements during moving target observation. In this report, we describe the rela... [more] | IMQ2016-41 IE2016-156 MVE2016-64 pp.131-135 |
| HCGSYMPO (2nd) |
2016-12-07 - 2016-12-09 |
Kochi | Kochi City Culture Plaza (CUL-PORT) | Clustering Indoor Space from Observation of Human Motion Chinatsu Kobayashi, Koh Kakusho (Kwansei Gakuin Univ.), Masaaki Iiyama (Kyoto Univ.) |
Recent robots are employed not only in manufacturing industries but also in living environment for supporting daily huma... [more] | |
| PRMU, BioX | 2016-03-24 10:00 |
Tokyo | Temporal Spotting of Human Actions in Video Based on Voting Framework with a Hierarchical Action Model Keita Hara, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) BioX2015-42 PRMU2015-165 |
This paper focuses on the task of temporal action spotting: temporal segmentation and classification of human actions in... [more] | BioX2015-42 PRMU2015-165 pp.7-12 |
|
| HCGSYMPO (2nd) |
2015-12-16 - 2015-12-18 |
Toyama | Toyama International Conference Center | Effect Evaluation of Discriminative Models and Data Input Conditions on Emotion Recognition from EEG Miku Yanagimoto, Chika Sugimoto (YNU) |
Machine learning methods for human emotion recognition using biosignals are proposed, but high accuracy has not been ach... [more] | |
| HCS, HIP, HI-SIGCOASTER [detail] | 2015-05-19 10:50 |
Okinawa | Okinawa Industry Support Center | The changes in pupil size produced by the emotional change and the estimation of emotional state based on the observation of the changes in pupil size Ryohei Ishikawa, Hirohiko Kaneko (Titech) HCS2015-3 HIP2015-3 |
It is important to know how we recognize others’ emotions and how we express our emotions for developing a sophisticated... [more] | HCS2015-3 HIP2015-3 pp.13-18 |
| NC, MBE (Joint) |
2014-03-18 15:00 |
Tokyo | Tamagawa University | Human Activity Rcognition with Skeleton-data and Structured Hierarchical Hidden Markov Model Tomoji Sawada, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NC2013-141 |
Recognition of human activities nowadays is used not only for monitoring system, but also interface, motion analysis of... [more] |
NC2013-141 pp.305-310 |
| PRMU, CNR | 2014-02-14 15:40 |
Fukuoka | Temporal Spotting of Human Actions from Videos Including Motions Unrelated to Actor's Intention Keita Hara, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) PRMU2013-165 CNR2013-73 |
This paper proposes a method for temporal action spotting: the temporal segmentation and classification of human actions... [more] | PRMU2013-165 CNR2013-73 pp.183-188 |
|
| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 10:30 |
Osaka | Rhythm and Music Generation from Performance Motion in Gravity Point of Upper Body Hiroki Kawaguchi, Arisa Hayashi, Yosuke Ino, Naoto Yoshida, Tomoko Yonezawa (Kansai Univ.) PRMU2013-97 MVE2013-38 |
In this paper, we introduce an investigation of relationship between the music tune and the movement of human body durin... [more] | PRMU2013-97 MVE2013-38 pp.49-52 |
|
| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-24 09:10 |
Osaka | Spotting recognition of performance motions of figure skating from videos of TV broadcasting Yuki Yokokura, Syunpei Torii, Yuki Nitsuma, Yuichi Yaguchi, Ryuichi Oka (Univ. of Aizu) PRMU2013-106 MVE2013-47 |
We report the result of spotting recognition of sport motions captured by moving cameras of broadcasting TV. We focused ... [more] | PRMU2013-106 MVE2013-47 pp.159-164 |
|
| IN, NWS (Joint) |
2014-01-23 14:30 |
Aichi | Nagoya International Center | [Invited Talk]
Introduction to Sensing and Analysis Techniques for Human Activity Recognition Keiichi Yasumoto (NAIST) IN2013-124 |
Progress of sensing and context-awareness technologies has accelerated research on human activity recognition with commo... [more] | IN2013-124 pp.39-44 |
| PRMU | 2013-06-11 15:30 |
Tokyo | Spotting Recognition of Motions from a Video Captured by a Moving camera Syunpei Torii, Yuki Nitsuma, Yuichi Yaguchi, Ryuichi Oka (Univ Aizu) PRMU2013-31 |
In the technology of first person vision, recognition of human motions is an important function as well as recognition o... [more] | PRMU2013-31 pp.71-76 |
|
| SP | 2013-03-01 11:00 |
Aichi | Daido University | Automatic Speech Emotion Recognition Based on Dimensional Approach Reda Elbarougy, Masato Akagi (JAIST) SP2012-127 |
This paper proposes a three-layer model for estimating the expressed emotions in a speech signal based on a dimensional ... [more] | SP2012-127 pp.41-46 |
| WIT | 2012-03-09 16:15 |
Ibaraki | Human Interface Using EMG-Based Motion Recognition Method Masahiro Yoshikawa, Yoshio Matsumoto (AIST) WIT2011-80 |
In this paper, we report an EMG-based motion recognition method using support vector machines (SVMs). This method uses E... [more] | WIT2011-80 pp.57-60 |
|
| PRMU | 2011-02-18 13:00 |
Saitama | Human motion recognition in crowded surveillance video sequences based on key-point trajectories Masaki Takahashi, Mahito Fujii, Masahide Naemura (NHKSTRL), Shin'ichi Satoh (NII) PRMU2010-225 |
There is a need for systems that can automatically detect specific human motions in a surveillance video. However, almos... [more] | PRMU2010-225 pp.111-116 |
|
| PRMU, SP, MVE, CQ | 2010-01-21 15:20 |
Kyoto | Kyoto Univ. | Action Classification Based on CHLAC Features and Cone-Restricted Subspace Method Ryuta Sato, Yoshinari Kameda, Yuichi Ohta (Univ. of Tsukuba.) CQ2009-82 PRMU2009-181 SP2009-122 MVE2009-104 |
This paper describes a cone restricted subspace method for multi-classification of CHLAC features that are taken from bo... [more] | CQ2009-82 PRMU2009-181 SP2009-122 MVE2009-104 pp.173-178 |
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