Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MVE, VRSJ-SIG-MR, IPSJ-EC, HI-SIG-DeMO, VRSJ-SIG-CS |
2023-10-27 11:40 |
Hokkaido |
|
Online Structured Job Interview Assessment Using Multimodal Transformer and Prompt Learning Shengzhou Yi (UTokyo), Toshiaki Yamasaki (taleasse), Toshihiko Yamasaki (UTokyo) |
(To be available after the conference date) [more] |
|
BioX |
2023-10-12 15:45 |
Okinawa |
Nobumoto Ohama Memorial Hall |
A Study on Personal Identification System Based on Features Extracted from Joint Movement of Everyday Actions Michiya Ishimoto, Bo Wu, Kiminori Sato (TUT) |
(To be available after the conference date) [more] |
|
BioX |
2023-10-12 17:15 |
Okinawa |
Nobumoto Ohama Memorial Hall |
A Study of Multibiometrics Considering Properties of Biometric Traits Taito Tonosaki, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Tetsushi Ohki, Masakatsu Nishigaki (Shizuoka Univ.) |
(To be available after the conference date) [more] |
|
BioX |
2023-10-13 10:20 |
Okinawa |
Nobumoto Ohama Memorial Hall |
Discrimination between Real and Generated Gestures of Speakers
-- An Attempt to Improve Generalization Performance in Unseen Generation Methods through Self-Supervised Learning -- Geng Mu (AGU), Naoshi Kaneko (TDU), Kazuhiko Sumi (AGU) |
(To be available after the conference date) [more] |
|
MIKA (3rd) |
2023-10-10 15:35 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Proposal for generating daily life logs in hospital wards through the use of RFID Ryoma Seto (THCU), Hirona Okudaira (Daito Univ.), Koji Ono (THCU) |
(To be available after the conference date) [more] |
|
HIP |
2023-10-10 16:40 |
Kyoto |
Kyoto Keizai Center (Primary: On-site, Secondary: Online) |
An Examination of Object Recognition Assessment Using Fixation Heat Map and Psychological Potential Field Naoyuki Awano (Kokushikan Univ.), Yuki Hayashi (Osaka Metropolitan Univ.) |
(To be available after the conference date) [more] |
|
MIKA (3rd) |
2023-10-11 14:30 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
VR Surveillance System Assisted by Face Recognition in a Private 5G Environment Takumi Senaha, Yuki Norimatsu, Takuya Asaka (Tokyo Metropolitan Univ.) |
(To be available after the conference date) [more] |
|
HIP, HCS (Joint) [detail] |
2023-09-11 15:50 |
Ehime |
University of Human Environments |
[Invited Talk]
Face recognition and communication
-- An experimental psychological study focusing on individual differences in face recognition ability -- Satoshi F Nakashima (UHE) HCS2023-62 HIP2023-52 |
Face recognition abilities play an essential role in enabling successful communication with others. Traditionally, psych... [more] |
HCS2023-62 HIP2023-52 pp.29-34 |
CQ, MIKA (Joint) (2nd) |
2023-08-30 15:00 |
Fukushima |
Tenjin-Misaki Sports Park |
[Poster Presentation]
Research and development of facial expression recognition and sign language translation system using machine learning in Python Kouta Iwata, Toshiya Arakawa (NIT) |
The population with hearing and speech impairments in Japan is approximately 340,000, and one of the main communication ... [more] |
|
SWIM, SC |
2023-08-25 13:35 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Acceptability investigation of information systems driven by faculty and staff members working at childcare facility Ryunosuke Iga, Toru Takahashi, Koji Yamada (Osaka Sangyo Univ.) SWIM2023-13 SC2023-12 |
As part of measures to address the declining birthrate, there is a growing need for daycare services in which kindergart... [more] |
SWIM2023-13 SC2023-12 pp.7-12 |
LOIS, IPSJ-DC |
2023-08-04 14:45 |
Kyoto |
Kyoto Tachibana University, Keisei-Kan, 1-G106 (Primary: On-site, Secondary: Online) |
Recognizing Human-Centered Contexts for In-Home Elderly Monitoring Using Vision-Based Edge AI Sinan Chen, Masahide Nakamura, Kiyoshi Yasuda (Kobe Univ.) LOIS2023-6 |
As the global population ages, including Japan, there is a significant trend toward transitioning from facility-based ca... [more] |
LOIS2023-6 pp.18-22 |
CCS, IN (Joint) |
2023-08-03 10:51 |
Hokkaido |
Banya-no-yu |
Preprocessing Study for Detecting Out-of-Distribution Image Data with Bayesian Neural Network Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.) CCS2023-19 |
Out-of-distribution (OOD) data ditection is a critical issue in ensuring the security of machine learning models.
In th... [more] |
CCS2023-19 pp.13-18 |
US |
2023-07-28 09:00 |
Fukuoka |
West Japan General Exhibition Center Annex |
Underwater Object Material Classification by Ultrasonics Mayuka Kono, Yutaro Hirao, Monica Perusquía-Hernández (NAIST), Naoya Isoyama (Otsuma Women's Univ.), Hideaki Uchiyama (NAIST), Nobuchika Sakata (Ryukoku Univ.), Jun Takamatsu (Microsoft), Kiyoshi Kiyokawa (NAIST) US2023-25 |
We analyze the effect of angles on the classification by collecting reflected signals from plates at multiple angles in ... [more] |
US2023-25 pp.39-44 |
ET |
2023-07-14 13:10 |
Hokkaido |
Muroran Institute of Technology / Online (Primary: On-site, Secondary: Online) |
English Pronunciation Practice Using the Speech Recognition Function Katsuyuki Umezawa (Shonan Inst. of Tech.), Makoto Nakazawa (Junior College of Aizu), Michiko Nakano, Shigeichi Hirasawa (Waseda Univ.) ET2023-9 |
The development of the AI field in recent years has been remarkable, and the speech recognition function has become wide... [more] |
ET2023-9 pp.1-6 |
SP, IPSJ-MUS, IPSJ-SLP [detail] |
2023-06-23 13:50 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Speech Emotion Recognition based on Emotional Label Sequence Estimation Considering Phoneme Class Attribute Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) SP2023-9 |
Recently, many researchers have tackled speech emotion recognition (SER), which predicts emotion conveyed by speech. In ... [more] |
SP2023-9 pp.42-47 |
SP, IPSJ-MUS, IPSJ-SLP [detail] |
2023-06-23 13:50 |
Tokyo |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Generation of colored subtitle images based on emotional information of speech utterances Fumiya Nakamura (Kobe Univ.), Ryo Aihara (Mitsubishi Electric), Ryoichi Takashima, Tetsuya Takiguchi (Kobe Univ.), Yusuke Itani (Mitsubishi Electric) SP2023-11 |
Conventional automatic subtitle generation systems based on speech recognition do not take into account paralinguistic i... [more] |
SP2023-11 pp.54-59 |
SP, IPSJ-MUS, IPSJ-SLP [detail] |
2023-06-23 13:50 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Streaming End-to-End speech recognition using a CTC decoder with substituted linguistic information Tatsunari Takagi (TUT), Atsunori Ogawa (NTT), Norihide Kitaoka, Yukoh Wakabayashi (TUT) SP2023-12 |
Speech recognition technology has been employed in various fields due to the enhancement of speech recognition model acc... [more] |
SP2023-12 pp.60-64 |
SP, IPSJ-MUS, IPSJ-SLP [detail] |
2023-06-24 13:50 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Domain adaptation of speech recognition models based on self-supervised learning using target domain speech Takahiro Kinouchi (TUT), Atsunori Ogawa (NTT), Yuko Wakabayashi, Norihide Kitaoka (TUT) SP2023-19 |
In this study, we propose a domain adaptation method using only speech data in the target domain without using transcrib... [more] |
SP2023-19 pp.91-96 |
SP, IPSJ-MUS, IPSJ-SLP [detail] |
2023-06-24 13:50 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Automatic speech recognition model simultaneously recognizes linguistic information and verbal/non-verbal phenomena Nagito Shione, Yukoh Wakabayashi, Norihide Kitaoka (TUT) SP2023-22 |
Although speech recognition technology has advanced in recent years, most of them recognize only linguistic information ... [more] |
SP2023-22 pp.109-113 |
WIT |
2023-06-16 14:20 |
Okinawa |
Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Study on Sign Language Recognition Using Deep Learning
-- Recognition by conformer with the introduction of two-word sentences and sign language dictionary structure -- Kouki Ikeda, Tsutomu Kimura (National Institute of Technology,Toyota College) WIT2023-2 |
This study aims to recognize words used in sentences in sign language recognition using machine learning. In order to tr... [more] |
WIT2023-2 pp.6-11 |