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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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] | |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 17:20 |
Online | Online (Zoom) | QoE Estimation for Variable Bitrate Videos Using Bio-signals Kentaro Oike, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.)  CQ2021-109 |
Our previous study shows that QoE of videos can be estimated by bio-signals while watching around-10-minute variable bit... [more] | CQ2021-109 pp.49-54 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 17:45 |
Online | Online (Zoom) | Estimating Subjective Video Quality of Smartphone Users Using Bio-signals in Real Environment by Considering Video-watching Contexts Shotaro Mishina, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2021-110 |
Our previous study suggests that it is possible to estimate the subjective video quality of smartphone users in real env... [more] | CQ2021-110 pp.55-60 |
| 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 |
| 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] | |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-01 09:20 |
Online | Online | A Comparison of Context Analysis and Estimation Methods for Mobile Users Considering the Time Series of Data Hiromi Shimizu, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2020-107 |
Recently, the demand for analyzing mobile user’s activities has been increasing in the fields such as customer behavior ... [more] | CQ2020-107 pp.1-5 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-03 15:55 |
Online | Online | A Consideration on Estimation Accuracy Improvement of Unlearned Data in Video Viewer's Emotion Estimation Using Bio-signals Misato Matsumura, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2020-120 |
We are conducting a research of video viewer’s emotion estimation from bio-signals using deep neural network in order to... [more] | CQ2020-120 pp.67-72 |
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | A Consideration on Detecting Anormal Respondents in Large Questionnaire Response Data Hiroyuki Takahashi, Wataru Kameyama, Mutsumi Suganuma (Waseda Univ.) |
In a questionnaire with a variety of questions for consumers to answer, there may be a small number of specific answers ... [more] | |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 09:20 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
A Consideration on Subjective Video Quality Estimation by Using Bio-signals while Watching Video with Smart-phone Takayuki Sakamoto, Wataru Kameyama, Mutumi Suganuma (Waseda Univ) CQ2019-135 |
It has been found by our study that subjective quality or QoE of video can be estimated by using subjects’ bio-signals w... [more] | CQ2019-135 pp.5-10 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 09:55 |
Kagoshima | Kagoshima University | A Consideration on Subjective Video Quality Estimation by Using Bio-signals while Watching Video with and without Smart-phone Takayuki Sakamoto, Mutumi Suganuma, Wataru Kameyama (Waseda Univ) CQ2018-93 |
[more] | CQ2018-93 pp.7-12 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 10:20 |
Kagoshima | Kagoshima University | Time-wise QoE Estimation of Video Quality using Multimodal Bio-signals Akio Oishi, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2018-94 |
In various communication services such as video streaming, QoE (Quality of Experience) as the degree of user’s satisfact... [more] | CQ2018-94 pp.13-18 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 10:50 |
Kagoshima | Kagoshima University | Estimation of Video Viewers' Emotion by SRC using Bio-signals and Facial Feature Points Yui Tagami, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.), Simon Clippingdale (NHK STRL) CQ2018-95 |
Aiming for making more accurate content recommendation system, we estimate video viewers’ emotion based on questionnaire... [more] | CQ2018-95 pp.19-24 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 15:45 |
Kagoshima | Kagoshima University | A Consideration on Pupillary Light Reflex Compensation by Using Pupillary Light Reflex Models Atsushi Kato, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2018-103 |
[more] | CQ2018-103 pp.61-66 |
| CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-09 13:30 |
Okinawa | Okinawa Industry Support Center | A Consideration on QoE Estimation while Watching Video with Delay by using Random Forest Classifier to Multimodal Bio-signals Akihiko Kawauchi, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2017-124 |
QoE (Quality of Experience), which is a measurement of the user’s experience to service, has attracted attention in rece... [more] | CQ2017-124 pp.121-126 |
| CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-09 13:55 |
Okinawa | Okinawa Industry Support Center | A Consideration on Video Viewer's Emotion Estimation based on the correlation between Nasal Skin Temperature and Heart Rate Variability Ryohei Hashimoto, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.), Simon Clippingdale (NHK STRL) CQ2017-125 |
In order to estimate the video viewers’ emotion, we consider the effectiveness of nasal skin temperature, and estimate e... [more] | CQ2017-125 pp.127-132 |
| HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa | THE KANAZAWA THEATRE | A Consideration on Mapping between Music and Background Activity of Listener Masataka Yoshida, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) |
The aim of the study is to investigate the mapping between music and background activity. The k-means clustering results... [more] | |
| HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa | THE KANAZAWA THEATRE | A Consideration on Mapping between User Emotion Classification by Bio-signals and Questionnaire Response while Watching Video Ying Fu, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.), Simon Clippingdale (NHK STRL) |
In order to find a method of estimating the video viewers’ emotion, we analyze video viewers’ emotions using pupil size,... [more] | |
| HCS, HIP, HI-SIGCOASTER [detail] | 2014-05-30 09:30 |
Okinawa | Okinawa Industry Support Center | A Consideration on Music Classification using Background Activity of Brain Ryosuke Miki, Wataru Kameyama, Mutsumi Suganuma (Waseda Univ.) HCS2014-28 HIP2014-28 |
“Genre” is one of the music metadata. Generally, music genre is used to classify similar music tracks reflecting their m... [more] | HCS2014-28 HIP2014-28 pp.211-216 |
| HCGSYMPO (2nd) |
2012-12-10 - 2012-12-12 |
Kumamoto | Kumamoto-Shintoshin-plaza | A Consideration on Relationship Analysis between User's Pupil Size and Background Activity against Audiovisual Sequence Eri Kawamura, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ) |
Recently, the use of biometric information has attracted attention in the study of creating effective video summarizatio... [more] | |
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