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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 163  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ITS, IEE-ITS 2024-03-11
14:00
Shiga BKC, Ritsumeikan Univ.
(Primary: On-site, Secondary: Online)
Doppler radar-based recognition of bicycle motions
Ryoya Hayashi, Masao Masugi, Kenshi Saho (Ritsumeikan Univ.) ITS2023-80
In this report, we present the results of an experiment in which a Doppler radar-based method was used to detect four be... [more] ITS2023-80
pp.7-10
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM 2024-01-26
10:30
Kanagawa Keio Univ. (Hiyoshi Campus) Body Parts Motion Guided Deformable Attention for Action Recognition
Yuji Sato, Umihiro Kamoto, Takeo Ueta (Panasonic Connect), Yasunori Ishii (Panasonic Holdings), Takayoshi Yamashita (Chubu Univ.) PRMU2023-44
In recent years, video transformers for action recognition have been
proposed and achieve high performance. Most of the... [more]
PRMU2023-44
pp.26-31
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM 2024-01-26
15:34
Kanagawa Keio Univ. (Hiyoshi Campus) Comparison of Imbalanced Data Handling Techniques in Emotion Estimation of Expressway Service Area Workers using Stacking Ensemble Learners for Complex Decision Boundaries
Akihiro Sato, Satoki Ogiso, Ryosuke Ichikari, Takeshi Kurata (AIST) PRMU2023-47
Estimating emotions of workers is promising to promote health and productivity management, while it has difficulty in c... [more] PRMU2023-47
pp.40-45
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
Time series classification of cleaning task motion using acceleration and angular velocity.
Yuya Itagaki, Minami Ishihara, Yuukou Horita (Toyama Univ.)
In recent years, wearable devices have been attracting attention as they have become smaller and lighter, reducing the b... [more]
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
HCS 2023-08-25
16:20
Hyogo
(Primary: On-site, Secondary: Online)
Modeling of Expressed Emotions in Puzzle Tasks and Estimation of the Emotion based on Laban Movement Analysis
Akari Kubota, Sota Fujiwara (Kwansei Gakuin Univ.), Saizo Aoyagi (Komazawa Univ.), MIchiya Yamamoto (Kwansei Gakuin Univ.) HCS2023-48
Research to recognize and estimate human emotions using such as facial expressions has been vigorously conducted. By foc... [more] HCS2023-48
pp.29-34
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
NC, MBE
(Joint)
2023-03-15
13:50
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Comparison of classification accuracy by frequency band restriction on emotion recognition from EEG
Raiki Yamane, Shin'ichiro Kanoh (SIT) NC2022-115
Accuracy of emotion classification in deep learning when frequency band restriction is used as a preprocessing method fo... [more] NC2022-115
pp.127-132
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
16:10
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Analysis of TV commercial favorability by scene labeling and XAI
Kanta Fukuyori, Kunio Matsui (Knazawa Inst.Tech.), Koh Tatsumoto (TOKYO KIKAKU CO.,Ltd.) PRMU2022-116 IBISML2022-123
A large amount of money (6 trillion yen) is spent every year to produce TV commercials that advertise companies and thei... [more] PRMU2022-116 IBISML2022-123
pp.305-310
SeMI, IPSJ-UBI, IPSJ-MBL 2023-02-28
15:30
Aichi
(Primary: On-site, Secondary: Online)
Detection of trial reading actions using smartwatches
Chisaki Takahashi, Hiroaki Morino (SIT) SeMI2022-109
It would be useful in many situations if a person's behavior can be detected by sensors to estimate what the person is i... [more] SeMI2022-109
pp.13-18
IPSJ-SLDM, RECONF, VLD [detail] 2023-01-24
10:55
Kanagawa Raiosha, Hiyoshi Campus, Keio University
(Primary: On-site, Secondary: Online)
Study on Wireless Transmission Data Reduction Method and Its Implementation in Emotion Recognition System Using Electroencephalogram
Yuuki Harada, Daisuke Kanemoto, Tetsuya Hirose (Osaka Univ.) VLD2022-66 RECONF2022-89
Recently, there has been a great deal of research on emotion recognition and its application using electroencephalogram.... [more] VLD2022-66 RECONF2022-89
pp.40-44
SeMI, SeMI
(Joint)
2023-01-19
15:55
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
[Short Paper] Hand Written Digit Recognition by Ensemble Learning using Leap Motion
Noriaki Kaneko, Masakatsu Ogawa (Sophia Univ.) SeMI2022-86
In recent years, contactless input technologies have been attracting attention due to the spread of the new coronavirus ... [more] SeMI2022-86
pp.61-64
PRMU 2022-12-16
16:00
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
Extraction of Feature Flow for Deforming Non-rigid Objects and Its Analysis Method
Yuki Fukuda, Munetoshi Iwakiri, Takumi Fujiwara (NDA) PRMU2022-53
Most of the current methods for motion and action recognition acquire skeletal information by tracking feature points su... [more] PRMU2022-53
pp.110-115
RISING
(3rd)
2022-10-31
14:00
Kyoto Kyoto Terrsa (Day 1), and Online (Day 2, 3) [Poster Presentation] Experimental evaluation of the effectiveness of networked-data preprocessing in an edge network
Saiga Oshima (Kyutech), Yuzo Taenaka (Naist), Kazuya Tsukamoto (Kyutech)
In IoT, content is created by combining data from various different fields generated in the region, expanding local prod... [more]
HCS 2022-10-27
14:20
Online Online Do mood states contribute to facial expression perception?
Qi Fan (Waseda Univ.), Kyoko Ito (Kyoto Tachibana Univ./Osaka Univ.), Fusako Koshikawa (Waseda Univ.) HCS2022-51
This study intends to investigate how mood states affect facial expression perception. The study examined how depression... [more] HCS2022-51
pp.18-23
HCS 2022-08-26
11:00
Hyogo
(Primary: On-site, Secondary: Online)
Analysis of Relationships among Body Movement, Eye Information, and Physiological Indices in Emotion Expressions during Video Watching
Hayate Yamada, Fumiya Kobayashi, Souta Fujiwara (Kwansei Gakuin Univ.), Saizo Aoyagi (Komazawa Univ.), Michiya Yamamoto (Kwansei Gakuin Univ.) HCS2022-36
With the recent progress of human sensing and AI technologies, many studies on recognition and estimation of human inter... [more] HCS2022-36
pp.3-8
HCGSYMPO
(2nd)
2021-12-15
- 2021-12-17
Online Online Emotion discrimination model for learning spatio-temporal frequency information of EEG using SNN
Rio Kanda, Chika Sugimoto (Yokohama National Univ.)
In order to achieve high accuracy in emotion recognition based on EEG, it is considered effective to simultaneously lear... [more]
HCGSYMPO
(2nd)
2021-12-15
- 2021-12-17
Online Online Motion Identification of Physical Exertion using Hidden Markov Model with Combined Information of Skeletal Structure and Range Data
Ryohei Yamazaki, Shigeru Akamatsu (Hosei Univ.)
The purpose of this study is to verify the usefulness of using features that combine skeletal information and distance i... [more]
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]

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