Sensor-Based Activity Recognition and Artificial Intelligence 9th International Workshop, iWOAR 2024, Potsdam, Germany, September 26–27, 2024, Proceedings /

This book constitutes the proceedings of the 9th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2024, held in Potsdam, Germany, during September 26–27, 2024. The 15 full papers and 4 short papers presented here were carefully reviewed and selected from...

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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Konak, Orhan (Editor), Arnrich, Bert (Editor), Bieber, Gerald (Editor), Kuijper, Arjan (Editor), Fudickar, Sebastian (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Udgivelse:1st ed. 2025.
Serier:Lecture Notes in Computer Science, 15357
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Online adgang:https://doi.org/10.1007/978-3-031-80856-2
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Beskrivelse
Summary:This book constitutes the proceedings of the 9th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2024, held in Potsdam, Germany, during September 26–27, 2024. The 15 full papers and 4 short papers presented here were carefully reviewed and selected from 28 submissions. These papers have been categorized into the following topical sections: Advances in Human Activity Recognition; Applications in Vision-Based Recognition; Wearable Devices and Health Monitoring; Novel AI and Machine Learning Approaches; Short Papers: Emerging Topics in Sensor-Based Systems.
Fysisk beskrivelse:XI, 284 p. 123 illus., 112 illus. in color. online resource.
ISBN:9783031808562
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-80856-2