UID:
almahu_9949985932102882
Umfang:
XI, 284 p. 123 illus., 112 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2025.
ISBN:
9783031808562
Serie:
Lecture Notes in Computer Science, 15357
Inhalt:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031808555
Weitere Ausg.:
Printed edition: ISBN 9783031808579
Sprache:
Englisch
DOI:
10.1007/978-3-031-80856-2
URL:
https://doi.org/10.1007/978-3-031-80856-2
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