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Deep Learning for Ballroom Dance Recognition: A Temporal and Trajectory-Aware Classification Model With Three-Dimensional Pose Estimation and Wearable Sensing

Autor: Hitoshi Matsuyama, Takuro Yonezawa, Katsuhiko Kaji, Shunsuke Aoki, Nobuo Kawaguchi, Kei Hiroi

Publikováno v: IEEE Sensors Journal. 21:25437-25448

Dance performance recognition methods have been investigated and shown various applications such as picture-pose evaluation and synchronizing foot timing and direction. However, detailed analysis and feedback are still missing. To provide them, under

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0543eed21760b8b470553605c7bd8770
https://doi.org/10.1109/jsen.2021.3098744

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9th International Workshop on Human Activity Sensing Corpus and Applications (HASCA)

Autor: Paula Lago, Philipp M. Scholl, Kei Hiroi, Kenta Urano, Yu Enokibori, Kazuya Murao, Hristijan Gjoreski, Mathias Ciliberto, Pekka Siirtola, Tsuyoshi Okita

Publikováno v: UbiComp/ISWC Adjunct

The recognition of complex and subtle human behaviors from wearable sensors will enable next-generation human-oriented computing in scenarios of high societal value (e.g., dementia care). This will require large-scale human activity corpus and much i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::db26801bf4290408e7037f027e5e7d3d
https://doi.org/10.1145/3460418.3479266

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A Basic Study on Ballroom Dance Figure Classification with LSTM Using Multi-modal Sensor

Autor: Takuro Yonezawa, Nobuo Kawaguchi, Hitoshi Matsuyama, Kei Hiroi, Katsuhiko Kaji

Publikováno v: Smart Innovation, Systems and Technologies ISBN: 9789811589430

The paper presents a ballroom dance figure classification method with LSTM using video and wearable sensors. Ballroom dance is a popular sport among people regardless of age or sex. However, learning ballroom dance is very difficult for less experien

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::72aee9a635ca60e127fde7d581b56b64
https://doi.org/10.1007/978-981-15-8944-7_13

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8th international workshop on human activity sensing corpus and applications (HASCA)

Autor: Hristijan Gjoreski, Paula Lago, Yu Enokibori, Tsuyoshi Okita, Pekka Siirtola, Kei Hiroi, Kazuya Murao, Mathias Ciliberto, Philipp M. Scholl

Publikováno v: UbiComp/ISWC Adjunct

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ce40ec5a1c302ebea938fbd0aed38e66
https://doi.org/10.1145/3410530.3414612

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Data Assimilation Approach for Flood Level Estimation using State Space Model for Urban Internal Flooding

Autor: Kei Hiroi, Takashi Tashiro, Yoichi Shinoda, Daisuke Murakami, Kazumi Kurata

Publikováno v: ICT-DM

This paper proposes a method for estimating flood levels by data assimilation using a state space model to determine the spatial-temporal flood expansion process. The method incorporates flood simulation values to analyze the causal relationship with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::73c4cfe1bf8137b2e6fc665441747b18
https://doi.org/10.1109/ict-dm47966.2019.9032918

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