IoT Sensor-Based Activity Recognition : Human Activity Recognition / / by Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed

• Autore: Ahad Md Atiqur Rahman
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (214 pages) : illustrations
• Disciplina: 006.3
• Soggetto topico: 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
• Persona (resp. second.): AntarAnindya Das; AhmedMasud
• Sommario/riassunto: 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.
• Titolo autorizzato: IoT Sensor-Based Activity Recognition
• ISBN: 3-030-51379-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484373603321
• Lo trovi qui: Univ. Federico II
• Serie: Intelligent Systems Reference Library, . 1868-4394 ; ; 173