Accepted to HUCAPP 2023

Our paper has been accepted to HUCAPP 2023. This work is collaborative research with Prof. Hasegawa at Hokkai Gakuen University and Prof. Kaneko at Aoyama Gakuin University. This paper proposes a method for applying a text-to-gesture generation model trained using an English dataset to Japanese speakers’ data.

  • Genki Sakata, Naoshi Kaneko, Dai Hasegawa, and Shinichi Shirakawa: Language Agnostic Gesture Generation Model: A Case Study of Japanese Speakers’ Gesture Generation Using English Text-to-Gesture Model, 7th International Conference on Human Computer Interaction Theory and Applications (HUCAPP 2023), Lisbon, Portugal, February 19-21, 2023.