Titlebook: Human-Computer Interaction. Recognition and Interaction Technologies; Thematic Area, HCI 2 Masaaki Kurosu Conference proceedings 2019 Sprin

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Application of Classification Method of Emotional Expression Type Based on Laban Movement Analysis t 80%. We could estimate emotions even when the body motions were not so large or activated compared with the fabrication task. The results showed the general effectiveness of the classification method.

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Conference proceedings 2019cognition; eye-gaze, gesture and motion-based interaction; and interaction in virtual and augmented reality. ..Part III: design for social challenges; design for culture and entertainment; design for intelligent urban environments; and design and evaluation case studies. .

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https://doi.org/10.1007/978-3-662-10799-7he lower right portions, the upper left portions and the lower left portions. According to analyses we fund that under the circumstances of different symbol positions, the subjects tended to click on the positions where the symbols appeared instead of the centers of the buttons.

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https://doi.org/10.1007/978-3-663-12939-4 80%. We could estimate emotions even when the body motions were not so large or activated compared with the fabrication task. The results showed the general effectiveness of the classification method.

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