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Committee Date Time Place Paper Title / Authors Abstract Paper #
HCGSYMPO
(2nd)		 2023-12-11
- 2023-12-13		 Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)		 Compact Emotional Space Simulating Human Percieve of Emotion Based on Crossmodal Contrastive Learning with Softlabel
Seiichi Harata, Takuto Sakuma, Shohei Kato (NITech) 		This study aims to explore data-driven emotion modeling by extracting the latent space of emotions from human emotion ex... [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]
HIP 2019-12-19
14:00		 Miyagi RIEC, Tohoku University Mathematical Representation of Emotion by Combining Recognition and Unification Tasks Using Multimodal Deep Neural Networks
Seiichi Harata, Takuto Sakuma, Shohei Kato (NITech) HIP2019-65		 To emulate human emotions in robots, the mathematical representation of emotion is important for all components of affec... [more] HIP2019-65
pp.1-6
HIP, ITE-HI, ITE-CE [detail] 2016-12-20
14:45		 Miyagi Reserach Institute of Electrical Communication, Tohoku University The relationships between affective dimensions and the adjectives used in the semantic differential method -- Measurement by the Affect Dots --
Nami Nishiguchi, Jiro Gyoba (Tohoku Univ.) HIP2016-63		 It has been reported that three main factors are extracted by the semantic differential method; Evaluation, Activity, an... [more] HIP2016-63
pp.11-16
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