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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 121  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-15
15:50
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
A Study on Bento Image Scale Estimation by using Sizes of Multiple Ingredients
Marika Watanabe (Nagoya Univ.), Haruya Kyutoku (Aichi Univ. of Tech.), Keisuke Doman (Chukyo Univ.), Takahiro Komamizu, Ichiro Ide (Nagoya Univ.) IMQ2023-74 IE2023-129 MVE2023-103
Recently, due to growing health awareness, there has been an increasing demand for meal management. Automated estimation... [more] IMQ2023-74 IE2023-129 MVE2023-103
pp.330-335
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-15
13:30
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
Study on Leftovers Prediction from Food Images
Yuita Arum Sari, Atsushi Nakazawa (Okayama University) IMQ2023-86 IE2023-141 MVE2023-115
Leftover analysis is a valuable tool used by dietitians and nutritionists to assess a patient's calorie intake in health... [more] IMQ2023-86 IE2023-141 MVE2023-115
pp.390-395
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-19
14:00
Hokkaido Hokkaido Univ. Image Recognition-Based Ingredients Input Support for Food Nutrition Calculation
Liangyu Wang, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2023-54 IE2023-43
Contemporary nutrition tracking applications often rely on standard nutrient databases, overlooking the specific ingredi... [more] ITS2023-54 IE2023-43
pp.46-49
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-25
13:30
Tokushima Naruto University of Education Sex differences in sleep-wake and feeding behaviors induced by intracerebroventricular administration of ghrelin in rats
Yuya Numada, Itsuki Maeda, Juhyon Kim, Kazuki Nakajima (Univ. Toyama) NLP2023-109 MICT2023-64 MBE2023-55
Ghrelin has many physiological functions including sleep-wake regulation and food intake . Previous studies have reporte... [more] NLP2023-109 MICT2023-64 MBE2023-55
pp.118-122
WIT, HI-SIGACI 2023-12-07
15:15
Tokyo AIST Tokyo Waterfront (TBD) Cooking support system for visually impaired -- A study on fresh food management support system for refrigerators --
Asuka Morita, Shun-ichi Yonemura (SIT) WIT2023-36
For visually impaired, managing fresh food in the refrigerator comes with various difficulties. Visually impaired manage... [more] WIT2023-36
pp.64-69
NS 2023-10-04
18:20
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
Development of a Fraud Detection Method Based on the Likelihood of Regression Models in Food Traceability
Shion Yamada, Ishizuka Mirei, Ichitoshi Takehara, Takumi Kobayashi, Yuki Kami (Kagawa Univ.), Norihiko Kamata (NCOS), Koji Kida (Kagawa Univ.) NS2023-82
This study proposes an anti-falsification method for blockchain food traceability systems.
Conventional fraud detection... [more]
NS2023-82
pp.59-64
HIP, HCS, HI-SIGCOASTER [detail] 2023-05-16
09:35
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
An exploratory examination of factors that affect individual differences in the illusory truth effect of health-related products
Kazuya Inoue, Haruka Funakoshi (TMU) HCS2023-21 HIP2023-21
The illusory truth effect refers to the tendency to perceive something as truthful when it is encountered repeatedly or ... [more] HCS2023-21 HIP2023-21
pp.102-104
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
13:45
Hokkaido Hokkaido Univ. Automatic generation of eating order reports from first-person eating videos
Kenshiro Sato, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2022-50 IE2022-67
By automatically generating meal reports used by dietitians for dietary guidance from video footage of meals recorded by... [more] ITS2022-50 IE2022-67
pp.41-46
MVE, IPSJ-CVIM, VRSJ-SIG-MR 2023-01-27
13:35
Nara Nara Institute of Science and Technology
(Primary: On-site, Secondary: Online)
[Invited Talk] Emotion sensing for food processing
Wataru Sato (RIKEN) MVE2022-43
Physiological correlates of emotional experience with food stimuli are practically and theoretically important. Some pre... [more] MVE2022-43
pp.49-53
HIP 2022-12-22
13:30
Miyagi Research Institute of Electrical Communication
(Primary: On-site, Secondary: Online)
Influence of background colors of food images on food-based gender stereotypes
Miho Sakurai (Ritsumeikan Univ.), Atsushi Kimura (Nihon Univ.), Yuji Wada (Ritsumeikan Univ.) HIP2022-59
Food-based gender stereotypes (GS) have been reported to be measured as explicit and implicit attitudes in questionnaire... [more] HIP2022-59
pp.7-12
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-11
09:55
Online Online (Zoom) Investigation of taste threshold in multi-electrode galvanic taste stimulation
So Tanaka, Takuji Narumi, Hiromi Nakamura, Tomohiro Amemiya, Hideaki Kuzuoka, Kazuma Aoyama (UT) IMQ2021-56 IE2021-118 MVE2021-85
This study deals with a new gustatory display technology that controls the spatial distribution of taste in the oral cav... [more] IMQ2021-56 IE2021-118 MVE2021-85
pp.240-244
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-11
10:20
Online Online (Zoom) Evaluation of hot pungency enhancement effect using anode galvanic tongue stimulation
Masaki Ohno, Takuji Narumi, Daisuke Mine, Keigo Matsumoto, Tomohiro Amemiya, Hideaki Kuzuoka, Kazuma Aoyama (UTokyo) IMQ2021-57 IE2021-119 MVE2021-86
The methods to enhance the sensation of hot pungency are expected to improve the satisfaction of eating and to reduce th... [more] IMQ2021-57 IE2021-119 MVE2021-86
pp.245-249
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-11
17:55
Online Online (Zoom) A study on multi-task learning toward attractiveness estimation for food photography
Mitsuaki Miyazaki, Keisuke Doman (Chukyo Univ.), Ichiro Ide (Nagoya Univ.), Yoshito Mekada (Chukyo Univ.) IMQ2021-68 IE2021-130 MVE2021-97
We report the results of a study on multi-task learning for the accuracy improvement of attractiveness estimation of foo... [more] IMQ2021-68 IE2021-130 MVE2021-97
pp.306-311
HIP, ITE-HI, ASJ-H, VRPSY [detail] 2022-02-28
11:10
Online Online Effects of color attributes on visual texture perception of food
Jiayun Chen, Katsunori Okajima (YNU) HIP2021-69
(To be available after the conference date) [more] HIP2021-69
pp.58-61
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-22
11:10
Online Online Enhancing Personalized Food Image Classifier by Visual Attention and Class-Dependent Weighting
Seum Kim, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2021-47 IE2021-56
In a real-world setting, food records are very noisy and strongly imbalanced. Besides, inter-class similarity and intra-... [more] ITS2021-47 IE2021-56
pp.133-138
HCS 2022-01-28
14:20
Online Online Interaction research on eating a robot: Designing an edible robot and evaluating its movement
Ren Yamaki (Osaka Univ.), Yoshihiro Nakata (UEC), Kazuya Horibe, Midori Ban, Hideyuki Takahashi, Hiroshi Ishiguro (Osaka Univ.) HCS2021-47
We propose a novel human-robot interaction research field aimed to study the effects of eating a robot composed of edibl... [more] HCS2021-47
pp.24-29
EA, US
(Joint)
2021-12-23
11:00
Kumamoto Sojo University [Invited Talk]
*** (**) EA2021-63
Rice-koji is an important agent for the saccharification of fermented food production. In this study, focusing on the en... [more] EA2021-63
pp.36-41
HCGSYMPO
(2nd)
2021-12-15
- 2021-12-17
Online Online Quantifying the compatibility of foods and plates to choose plates that enhances food -- From the perspective of shape --
China Takahashi, Hayate Fukumoto, Mitsunori Matsushita (Kansai Univ.)
The purpose of this research is to develop a system that suggests combinations of plates that enhance the food. The Sele... [more]
LOIS, IPSJ-SPT, IPSJ-CN 2021-05-10
15:30
Online Online Proposal of Information System to Reduce Food Waste Targeting General Consumers
Imari Murayama, Akihisa Kodate (Tsuda Univ.) LOIS2021-6
In recent years, there has been a growing interest in the Sustainable Development Goals (SDGs) adopted by the United Nat... [more] LOIS2021-6
pp.31-36
EMM 2021-03-05
10:20
Online Online Analysis of visual subjective evaluation for qualities of food taste using machine learning techniques
Yoshiyuki Sato (Tohoku Univ.), Kazuya Matsubara, Yuji Wada (Ritsmeikan Univ.), Nobuyuki Sakai, Satoshi Shioiri (Tohoku Univ.) EMM2020-77
In this study, we conducted an experiment to collect human subjective judgments about taste (e.g. sweetness, spiciness) ... [more] EMM2020-77
pp.58-62
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