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Record Nr. |
UNINA9910484373603321 |
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Autore |
Ahad Md Atiqur Rahman |
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Titolo |
IoT Sensor-Based Activity Recognition : Human Activity Recognition / / by Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (214 pages) : illustrations |
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Collana |
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Intelligent Systems Reference Library, , 1868-4394 ; ; 173 |
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Disciplina |
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Soggetti |
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Engineering—Data processing |
Computer engineering |
Internet of things |
Embedded computer systems |
Computational intelligence |
Signal processing |
Image processing |
Speech processing systems |
User interfaces (Computer systems) |
Data Engineering |
Cyber-physical systems, IoT |
Computational Intelligence |
Signal, Image and Speech Processing |
User Interfaces and Human Computer Interaction |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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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 |
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valuable resource for readers in the fields of pattern recognition, human–computer interaction, and the Internet of Things. |
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