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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 82  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-13
11:10
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
Emotion Estimation for Advertising Images in Virtual Space by DNN Using Bio-signals and Physical Features of Images
Naho Inoue, Maki Kubo, Wataru Kameyama (Waseda Univ.), Masafumi Hashimoto, Yuki Yamauchi, Kunitomo Sasaki, Natsuko Minegishi (Konica Minolta, Inc.) CQ2023-70
Since the proportion of time spent and consumption in metaverse is expected to explode in the near future, we have been ... [more] CQ2023-70
pp.1-6
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-15
13:45
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
[Short Paper] Laughter Words at the End of Messages in Chat Communication Reduce Sadness
Yuga Takahashi (H.S.), Kairi Sugimoto (Waseda Univ.) IMQ2023-79 IE2023-134 MVE2023-108
This study examined the effect of laughter words at the end of messages in chat communication on feelings of sadness. Th... [more] IMQ2023-79 IE2023-134 MVE2023-108
pp.356-357
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
CNR 2024-01-19
16:45
Kagoshima Fureai Plaza Nanohana-Kan Meeting Room 1 (IBUSUKI City)
(Primary: On-site, Secondary: Online)
XR Live Performance System for Passenger Comfort in Autonomous Driving -- Examination of an Enjoyment Estimation Method Using Facial Expressions and Physiological Indicators --
Yuki Matoba, Yuki Matoba, Takuto Akiyoshi, Kouki Nagata, Kazuma Mori, Taishi Sawabe (NAIST) CNR2023-35
Autonomous driving technology enables passengers to engage in various activities inside the vehicle other than driving, ... [more] CNR2023-35
pp.53-56
EA, US
(Joint)
2023-12-22
13:00
Fukuoka   [Poster Presentation] Examination of a stress evaluation method using a NAM microphone
Akihito Nonaka, Masanori Akita (Oita Univ) EA2023-49
Modern society is also known as a stressful society, where people are busy with work and study, and are stressed by thei... [more] EA2023-49
pp.1-6
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
Estimating anxiety intensity in persons with dementia using phrases, facial expressions, and behaviors
Narumi Shigekiyo, Masaaki Yamauchi (Osaka Univ.), Hiroshi Tsuji (Montessori Care Assoc.), Hideyuki Shimonishi, Masayuki Murata, Miwa Sugita, Michihiro Kita (Osaka Univ.)
Persons with Dementia (PwD) are anxious about their memories and future due to cognitive decline, and these anxieties ca... [more]
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
IMQ, HIP 2023-07-28
15:30
Hokkaido Satellite Campus, Sapporo City University Investigation of the relationship between emotion estimation and human joint points based on a posture estimation model
Tosiki Honma, Kenta Niwa, Yuukou Horita (Univ of Toyama) IMQ2023-6 HIP2023-45
In order to consider urban happiness indices using area data, it is necessary to collect information on the conditions a... [more] IMQ2023-6 HIP2023-45
pp.15-20
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
LOIS 2023-03-14
10:35
Okinawa
(Primary: On-site, Secondary: Online)
Study of Response Generation Methods Based on User's Emotional Polarity in Lifelog-Tied Empathic Dialogue Systems
Soyogi Maezono, Sunao Hara, Masanobu Abe (Okayama Univ.) LOIS2022-61
In this paper, we propose a response generation method for dialogue systems that uses the user's lifelog to estimate the... [more] LOIS2022-61
pp.102-107
NC, MBE
(Joint)
2023-03-13
16:30
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Emotion estimation by EEG using multidimensional directed coherence and machine learning
Haruka Torii, Takamasa Shimada (Tokyo Denki Univ.), Osamu Sakata (Tokyo Univ. of Science), Tadanori Fukami (Yamagata Univ.) MBE2022-60
In this study, we investigated a method of emotion estimation using EEG. Four kinds of emotions were induced by presenti... [more] MBE2022-60
pp.9-12
HCGSYMPO
(2nd)
2022-12-14
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
A Consideration on Estimation Accuracy Improvement of Video Viewers' Emotions for Unlearned Data Using Bio-signals and Physical Features of Video
Hiroki Ono, Ryuichi Inoue (Waseda Univ.), Mutsumi Suganuma (Tama Univ.), Wataru Kameyama (Waseda Univ.)
The authors have been conducting a research of video viewers’ emotion estimation by deep neural network using bio-signal... [more]
HCGSYMPO
(2nd)
2022-12-14
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
Estimating emotional intensity in time series using speech sound features
Megumi Kawase, Minoru Nakayama (Tokyo Tech)
In order to estimate the emotion of speech utterances, deep learning models using speech features have only been able to... [more]
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
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-10
11:45
Online Online (Zoom) A Consideration on Estimation Accuracy Improvement of Unlearned Music Pieces in Music Listener's Emotion Estimation Using Bio-signals
Nanami Tanizawa, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2021-118
We are conducting a research of music listener’s emotion estimation by using bio-signals in order to utilize it for musi... [more] CQ2021-118
pp.100-105
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-10
12:10
Online Online (Zoom) Consideration on Estimating SNS Users' Emotions by Using Bio-signals and Text Analysis
Yuma Kitagawa, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2021-119
In this study, in order to estimate SNS users' emotions while reading SNS posts, we investigate a method whether positiv... [more] CQ2021-119
pp.106-111
HIP, ITE-HI, ASJ-H, VRPSY [detail] 2022-02-28
09:45
Online Online Estimation of speech emotional intensity model using impression ratings
Megumi Kawase, Minoru Nakayama (Tokyo Tech) HIP2021-66
We used deep learning to estimate emotional intensity from speech. In our previous study, we considered emotional intens... [more] HIP2021-66
pp.42-47
EA, US
(Joint)
2021-12-22
15:50
Kumamoto Sojo University [Poster Presentation] A Dialogue System Based on Emotion Estimation Using Deep Learning
Takumi Kawakami, Shinya Fukumoto, Masayuki Kashima, Mutsumi Watanabe (Kagoshima Univ.) EA2021-59
In recent years, intelligent robots have been attracting attention, and research on dialogue systems has been actively c... [more] EA2021-59
pp.13-17
HCGSYMPO
(2nd)
2021-12-15
- 2021-12-17
Online Online Estimation and Classification of Short Video Viewers' Emotions by Random Forest Using Bio-signals
Ryuichi Inoue, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.)
The authors have been conducting a research of video viewers’ emotion estimation by machine learning using bio-signals t... [more]
 Results 1 - 20 of 82  /  [Next]  
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