Buch, Englisch, Band 15357, 284 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 452 g
9th International Workshop, iWOAR 2024, Potsdam, Germany, September 26-27, 2024, Proceedings
Buch, Englisch, Band 15357, 284 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 452 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-80855-5
Verlag: Springer Nature Switzerland
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
