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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS, IPSJ-AVM [detail] | 2023-06-15 14:00 |
Shimane | NIT, Matsue College (Primary: On-site, Secondary: Online) |
A Study on Importance of a Facial Image during Conversation Based on Gaze Analysis Kae Nakayama, Kenta Terao, Miho Adachi, Ryusuke Miyamoto (Meiji Univ.)  SIS2023-7 |
Gaze helps communications between humans by controlling utterance. From a long time ago, several researches tackles ana... [more] |
SIS2023-7 pp.35-40 |
| BioX, SIP, IE, ITE-IST, ITE-ME [detail] | 2023-05-18 13:25 |
Mie | Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
[Invited Talk]
NEC's multimodal authentication terminal recognizing face and irises together Ryoma Oami, Toshiyuki Sashihara, Masato Sasaki, Ryuichi Akashi, Yuka Ogino, Yuho Shoji, Takahiro Toizumi, Kazuyuki Sakurai, Atsushi Ito (NEC) SIP2023-2 BioX2023-2 IE2023-2 |
This paper introduces NEC's multimodal authentication terminal that simultaneously captures and authenticates a face and... [more] | SIP2023-2 BioX2023-2 IE2023-2 pp.2-5 |
| CNR, BioX | 2023-03-01 14:15 |
Oita | (Primary: On-site, Secondary: Online) |
[Invited Talk]
A study on biometric performance evaluation using artificially generated sample images Mitsutoshi Himaga (JAISA) BioX2022-68 CNR2022-34 |
In order to evaluate the accuracy of biometric systems, it is necessary to collect biometric samples from a large number... [more] | BioX2022-68 CNR2022-34 pp.36-41 |
| HIP | 2022-12-23 10:30 |
Miyagi | Research Institute of Electrical Communication (Primary: On-site, Secondary: Online) |
Facial change in short-duration and its sensing technique
-- Detection of satiety face on eating behavior -- Mao Maekawa, Miyuki G. Kamachi (Kogakuin Univ.) HIP2022-67 |
As a countermeasure against “leftovers,” which are considered to be a major cause of food loss, we focused on the facial... [more] | HIP2022-67 pp.48-53 |
| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2022-11-25 11:30 |
Aichi | Nagoya Institute of Technology (Primary: On-site, Secondary: Online) |
Privacy-Preserving Facial Identification using Lensless Imaging Kohsuke Yamamura, Yoshihiro Maeda (TUS), Daisuke Sugimura (Tsuda Univ.), Takayuki Hamamoto (TUS) CS2022-59 IE2022-47 |
Lensless imaging is a method of obtaining optically encoded images without using a lens.In this imaging method, reconstr... [more] | CS2022-59 IE2022-47 pp.63-66 |
| HIP | 2022-10-18 10:50 |
Kyoto | Kyoto Terrsa (Primary: On-site, Secondary: Online) |
Examination of facial attractiveness features using geometric morphological analysis of and deep learning methods. Takanori Sano, Hideaki Kawabata (Keio Univ.) HIP2022-52 |
In psychology, various studies have been conducted on the features that constitute facial attractiveness. In recent year... [more] | HIP2022-52 pp.26-31 |
| MVE, VRSJ-SIG-MR, IPSJ-EC, HI-SIG-DeMO, VRSJ-SIG-CS | 2022-10-07 09:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Detection of human boredom from video Yuki Tachikawa, Atsushi Nakazawa (Kyoto Univ.) MVE2022-27 |
Prediction of individual internal state is an essential element to realize future affective interactive systems. Neverth... [more] | MVE2022-27 pp.52-56 |
| AI | 2022-09-15 15:45 |
Shizuoka | (Primary: On-site, Secondary: Online) |
Comparison of results for different datasets of facial attractiveness features extracted using gradient-weighted class activation mapping Takanori Sano (Keio Univ.) AI2022-24 |
In recent years, research using deep learning to analyze faces to identify the features that make up facial attractivene... [more] | AI2022-24 pp.37-41 |
| MI | 2022-01-25 14:43 |
Online | Online | Automatic evaluation of central facial palsy using video analysis Naoki Ikezawa, Yoichi Yoshida, Satoru Kurihara, Nozomi Takahashi, Taka-aki Nakada, Hideki Haneishi (Chiba Univ.) MI2021-43 |
The central facial palsy is the facial palsy caused by an obstruction of the central nervous system due to a stroke and ... [more] | MI2021-43 pp.3-5 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Toward the ordinal scale based facial expression evaluation Kei Shimonishi, Kazuaki Kondo, Junyao Zhang, Yuichi Nakamura (Kyoto Univ.) |
Traditional frameworks of facial expression recognition mainly focus on a clear facial expression as a classification pr... [more] | |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | The Preliminary Study on the Effect of Cognitive Response Task with Smiling Facial Expression Stimuli on Training Motivation and Emotion in Cognitive and Physical Multitask Training Naoto Yoshida, Tatsuya Imai, Hiroto Murakami, Shinji Iwata (Nagoya Univ.), Tomoko Yonezawa (Kansai Univ.), Yu Enokibori, Kenji Mase (Nagoya Univ.) |
In this study, we evaluated the effects of a cognitive response task using smiling facial expression stimuli on physical... [more] | |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Evaluation of Happy-looking Faces in Facial Images by Spatial Frequency Characteristics Akihiro Tada (POLA), Nobu Mitani (POLA R&M) |
The morphological characteristics of the human face and the condition of the skin reportedly affect evaluations of facia... [more] | |
| HIP | 2021-09-16 13:30 |
Online | Online (Zoom) | Emotional changes when observing negative and positive facial expressions: The effect of emotional intensity of the facial expressions Kana Ohashi (Ritsumeikan Univ.), Shigeo Yoshida (The Univ. of Tokyo), Nobuyuki Watanabe (KIT), Hidetoshi Kanaya, Makiko Naka, Akiyoshi Kitaoka (Ritsumeikan Univ.), Takao Sato (Univ. of Human Environments) HIP2021-21 |
(To be available after the conference date) [more] | HIP2021-21 pp.1-4 |
| IMQ, HIP | 2021-07-09 15:35 |
Online | Online | Recognition of facial expression transition caused by positive and negative visual stimuli Junyao Zhang, Kei Shimonishi, Kazuaki Kondo, Kanako Obata, Yuichi Nakamura (Kyoto Univ.) IMQ2021-4 HIP2021-19 |
This work aims to provide a novel objective measurement of facial expression, which can be used for dementia care, rehab... [more] | IMQ2021-4 HIP2021-19 pp.11-16 |
| HCS, HIP, HI-SIGCE [detail] | 2021-05-25 12:50 |
Online | Online | Development of a Job Interview Training System with Multi-modal Behavior Analysis Nao Takeuchi, Tomoko Koda (OIT) HCS2021-10 HIP2021-10 |
This paper introduces a job interview training system that recognizes the nonverbal behaviors of the interviewee, namely... [more] | HCS2021-10 HIP2021-10 pp.50-54 |
| HCS | 2021-01-24 11:40 |
Online | Online | Recognizing detailed smile intensity changes for QOL estimation Taichi Nakamura, Kazuaki Kondo, Yuichi Nakamura (Kyoto Univ), Shinichi Satou (NII) HCS2020-59 |
This paper introduces a novel method for recognizing smile toward the use of QOL (Quality Of Life) estimation. Facial ... [more] |
HCS2020-59 pp.39-44 |
| HIP | 2020-12-23 13:30 |
Online | Online | Estimation of preferences to images by facial expression analysis Yuta Horaguchi, Yoshiyuki Sato, Satoshi Shioiri (Tohoku Univ.) HIP2020-67 |
The purpose of the study is to use human facial expression for estimating high level human judgments by a computer, If w... [more] | HIP2020-67 pp.71-76 |
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | Evaluation of lively face from spatial frequency characteristics of facial images Akihiro Tada, Nobu Mitani (POLA R&M) |
The morphological characteristics of the face and the condition of the skin reportedly affect evaluations of facial attr... [more] | |
| NLP | 2020-05-15 11:25 |
Online | Online | Facial Expression Recognition by a Neural Network Inspired from Processing between the Visual Cortex and Amygdala Daiki Yoshihara, Toshikazu Samura (Yamaguchi Univ.) NLP2020-2 |
Facial expressions are important to communication. The visual cortex and amygdala are involved in the recognition of fac... [more] | NLP2020-2 pp.7-10 |
| HIP, HCS, HI-SIGCE [detail] | 2020-05-14 16:10 |
Online | Online | Estimation of recognizing emotions of facial images using EEG features Satoru Waseda, Minoru Nakayama (TokyoTech) HCS2020-10 HIP2020-10 |
Relationship between viewer's scalp potentials and subjective impression during viewing facial emotions was analysed u... [more] |
HCS2020-10 HIP2020-10 pp.47-52 |
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