From December 3 to 6, at ACM Multimedia Asia 2024 held in Auckland, New Zealand, Shun KATADA, a Specially Appointed Assistant Professor (Full-time), received the Best Paper Runner-Up Award.
ACM Multimedia Asia is one of the international conferences organized by the Association for Computing Machinery (ACM), focusing on multimedia technologies and their applications. The conference serves as a platform for researchers, engineers, students, and industry professionals to discuss and present on topics such as multimedia processing, machine learning, and artificial intelligence (AI).
Title: Personalized Sentiment Estimation Based on Recall and Resting Ratio of Frontal EEG
Author: Shun Katada, Kazunori Komatani
Comment:
It is a great honor to have our research on the personalized optimization of brainwave utilization for emotion recognition highly regarded. In this study, we demonstrated a method for emotion recognition based on individual brainwaves and its potential applications in evaluating dialogue systems. We will continue striving for further advancements in this field. We sincerely appreciate your continued guidance and support.
