IoT Sensor-Based Activity Recognition
Human Activity Recognition| By: | Atiqur Rahman Ahad Md; Anindya Das Antar; Masud Ahmed |
| Publisher: | Springer Nature |
| Print ISBN: | 9783030513788 |
| eText ISBN: | 9783030513795 |
| Edition: | 0 |
| Copyright: | 2021 |
| Format: | Reflowable |
Expires on Sep 17, 2026
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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.