iAmiCon = a Friend, who consulting you.
Recently, deep learning is applied to solve many kind of problems. By convining psycological knowledge, we are going to develop iAmiCon, which prompts self-recognition of users own emotion for the better self-control, like a very good,long-time well known friend.
This project is supported by the Center for Information Education and Research of Kanagawa Institute of Technology.
Project Members
Noriko Hiroi
Professor, Faculty of Creative Engineering
Kazuho Narita
M1, iAmicon prj
Andre Antezana
B4, iAmicon prj
Sora Oikawa
2024 Bachelor, iAmicon prj
Yusei Sakai
2023 Bachelor, team DX + Advanced AI + joined iAmicon
Shohei Nashizaki
2023 Bachelor, team Water + joined iAmicon prj
Masaki Ishiwata
2023 Bachelor, team Alcova + joined iAmicon prj
Hiroya Urushibara
2023 Bachelor, team bio-solveSDGs + joined iAmicon prj
Rintaro Imakado
2023 project member, team iAmicon
Up Coming Demonstrations
K Narita.
Introduction of the development of iAmicon projrect and questionaries for statistical analyses of the people favorite application of it. (2025 1st Nov, Sat)
IKUTOKUSAI (University festival) 2025, Kanagawa Institute of Technology, Kanagawa, Japan
Conference Presentations
K Narita, K Takahashi, and NF Hiroi.
Toward Micro-Expression Recognition: Facial Expression Classification with Convolutional Neural Network (2025 July)
IEEE EMBC 2025, paper ID: 1862, Copenhagen, Denmark
K Narita, K Takahashi, and NF Hiroi.
Development of a Deep Learning Machine for Micro-Expression Recognition. (2024 July)
IEEE EMBC 2024, paper ID: 8064, Orland, USA
K Narita, S Nashizaki, M Iwashita, Y Sakai, H Urushibara, and NF Hiroi.
Classification of Human microexpressions using CNN trained on images thresholded by Galvanic Skin Response. (2023/8/7)
STATPYS28, Topic 8: Interdisciplinary and complex systems, Mon. Aug 7, 2023 3:00 PM - 5:00 PM Classroom 213 (#213 in Building 2 of the School of Engineering, 1F) chair:Noriko F Hiroi, Guido Caldarelli
Y Sakai, M Ishiwata, K Narita, S Nashizaki, H Urushibara, and NF Hiroi.
Classification of microexpressions linking with Galvanic Skin Response by a Convolutional Neural Network. (2023 July)
IEEE EMBC 2023, paper ID: 1720, Sydney, Australia
K Narita, Y Sakai, M Ishiwata, S Nashizaki, H Urushibara, and NF Hiroi.
Visualization of the Focussing Area of CNN Trained for the Classification of Human Microexpressions. (2023 July)
IEEE EMBC 2023, paper ID: 1766, Sydney, Australia
S Nashizaki, H Urushibara, K Narita, Y Sakai, M Ishiwata and NF Hiroi.
Evaluation of the cardiac pulse rate as a thresholding index for the image data contains microexpressions to classify with a Convolutional Neural Network. (2023 July)
IEEE EMBC 2023, paper ID: 1844, Sydney, Australia