IoT Sensor-Based Activity Recognition
Springer International Publishing (Verlag)
978-3-030-51378-8 (ISBN)
This book offer clear descriptions of the basic structure for the recognition and classification of human activities using different types of sensor module and smart devices in e.g. healthcare, education, monitoring the elderly, daily human behavior, and fitness monitoring. In addition, the complexities, challenges, and design issues involved in data collection, processing, and other fundamental stages along with datasets, methods, etc., are discussed in detail. The book offers a valuable resource for readers in the fields of pattern recognition, human-computer interaction, and the Internet of Things.
Introduction on Sensor-based Human Activity Analysis: Background.- Basic Structure for Human Activity Recognition Systems: Preprocessing and Segmentation.
Erscheinungsdatum | 01.08.2020 |
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Reihe/Serie | Intelligent Systems Reference Library |
Zusatzinfo | XXXIV, 189 p. 63 illus., 52 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 493 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Technik | |
Schlagworte | Action Recognition • activity recognition • AI • DataSets • Deep learning • HCI • Healthcare • Health Informatics • Human Activity Recognition (HAR) • IOT • Sensor |
ISBN-10 | 3-030-51378-5 / 3030513785 |
ISBN-13 | 978-3-030-51378-8 / 9783030513788 |
Zustand | Neuware |
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