IoT Sensor-Based Activity Recognition: Human Activity Recognition
Ahad, M., Antar, A. D. and Ahmed, M. 2021. IoT Sensor-Based Activity Recognition: Human Activity Recognition. Springer, Cham.
|Authors||Ahad, M., Antar, A. D. and Ahmed, M.|
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.
|Online||30 Jul 2020|
|31 Jul 2020|
|Publication process dates|
|Deposited||26 Jul 2023|
|Series||Intelligent Systems Reference Library|
|Digital Object Identifier (DOI)||https://doi.org/10.1007/978-3-030-51379-5|
|Web address (URL)||https://link.springer.com/book/10.1007/978-3-030-51379-5|
|Copyright holder||© 2021, Springer Nature Switzerland AG|
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