Proceedings of the Sign Language Communication Research Association

Online ISSN : 2758-3910

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Volume 4

Displaying 1-6 of 6 articles from this issue

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[title in Japanese]

Wataru Inada, Tsutomu Kimura

2021 Volume 4 Pages 1-8
Published: May 01, 2021
Released on J-STAGE: May 08, 2023

DOIhttps://doi.org/10.57462/sca.4.0_1

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[title in Japanese]

Kohki Fukatsu, Tsutomu Kimura

2021 Volume 4 Pages 9-16
Published: May 01, 2021
Released on J-STAGE: May 08, 2023

DOIhttps://doi.org/10.57462/sca.4.0_9

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[title in Japanese]

Takashi Sakaguchi, Tsutomu Kimura

2021 Volume 4 Pages 17-24
Published: May 01, 2021
Released on J-STAGE: May 08, 2023

DOIhttps://doi.org/10.57462/sca.4.0_17

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[title in Japanese]

Keito Oishi, Tsutomu Kimura

2021 Volume 4 Pages 25-32
Published: May 01, 2021
Released on J-STAGE: May 08, 2023

DOIhttps://doi.org/10.57462/sca.4.0_25

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[title in Japanese]

Yuto Suzuki, Tsutomu Kimura

2021 Volume 4 Pages 34-40
Published: May 01, 2021
Released on J-STAGE: May 08, 2023

DOIhttps://doi.org/10.57462/sca.4.0_34

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A Proposal of Automatic Annotation System with Audio Data

One Step for Machin Sign Recognition

Kazuyuki Kanda

2021 Volume 4 Pages 41-49
Published: May 01, 2021
Released on J-STAGE: May 08, 2023

DOIhttps://doi.org/10.57462/sca.4.0_41

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Abstract In the research for sign recognition though machine learning, annotation by human effort was thought to be necessary process. The new idea is proposed here to annotate automatically signing using the audio data recorded simultaneously in the video, which would reduce the time and huma effort. The idea includes the concept of the peculiarity of sign language as bi-modality and translanguaging in bilingualism.

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