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Neural Generative Model for Minimal Biological Motion Patterns Evoking Emotional Impressions

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HCI International 2019 - Posters (HCII 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1032))

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Abstract

Humans can infer the body shapes, actions, and emotions of an animal by observing a pattern of moving white dots. This phenomenon is called “biological motion.” However, at times, humans feel perceive animacy even via motion patterns comprising more simple geometric shapes, for example, a circle and a triangle. In this study, we attempted to create generative models of biological motion patterns of up-down circular motion with emotional expressions. We collected motion patterns created by naïve participants and attempted to devise generative models that could generate biological motion with emotional expressions based on the gathered data. Our result implied that generative models of biological motion with emotional expressions may be acquired from the collective creations of many individuals.

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Correspondence to Asuka Minami .

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Minami, A., Takahashi, H., Ban, M., Nakamura, Y., Ishiguro, H. (2019). Neural Generative Model for Minimal Biological Motion Patterns Evoking Emotional Impressions. In: Stephanidis, C. (eds) HCI International 2019 - Posters. HCII 2019. Communications in Computer and Information Science, vol 1032. Springer, Cham. https://doi.org/10.1007/978-3-030-23522-2_49

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  • DOI: https://doi.org/10.1007/978-3-030-23522-2_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23521-5

  • Online ISBN: 978-3-030-23522-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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