A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
IoT-Based Human Activity Recognition for Smart Living
With the advancement in wireless sensing technology, the notion of the Internet of Things (IoT) has become ubiquitous and widely adopted due to its extensive applications in smart living. In that regard, Human Activity Recognition (HAR) is an indispensable part of intelligent systems for continuous supervision of human behavior. The design of effective applications requires accurate and relevant information on people’s activities and behaviors. This chapter presents a comprehensive review of the existing IoT-based HAR systems in the literature that promote smart living. The contribution of this work is to drive interested researchers toward the concept of HAR through existing works. In addition, a hands-on experimental case study is also provided to demonstrate the practical application of the concept, for recognizing and predicting several activities, in real life. Accordingly, here we first study the general architecture of the HAR system along with its principal components in detail. Next, the conglomeration of HAR with IoT and its impact on each other has been intensely explored to provide extensive insight for further research. We discuss the research challenges associated with developing IoT-based HAR systems. Next, the state-of-the-art works in HAR based on wearable sensors are surveyed thoroughly. At the end, we present a case study on HAR, using UCIHAR, a standard benchmark dataset that exhibits the practical implementation of the framework on different Machine Learning as well as Deep Learning models.
IoT-Based Human Activity Recognition for Smart Living
With the advancement in wireless sensing technology, the notion of the Internet of Things (IoT) has become ubiquitous and widely adopted due to its extensive applications in smart living. In that regard, Human Activity Recognition (HAR) is an indispensable part of intelligent systems for continuous supervision of human behavior. The design of effective applications requires accurate and relevant information on people’s activities and behaviors. This chapter presents a comprehensive review of the existing IoT-based HAR systems in the literature that promote smart living. The contribution of this work is to drive interested researchers toward the concept of HAR through existing works. In addition, a hands-on experimental case study is also provided to demonstrate the practical application of the concept, for recognizing and predicting several activities, in real life. Accordingly, here we first study the general architecture of the HAR system along with its principal components in detail. Next, the conglomeration of HAR with IoT and its impact on each other has been intensely explored to provide extensive insight for further research. We discuss the research challenges associated with developing IoT-based HAR systems. Next, the state-of-the-art works in HAR based on wearable sensors are surveyed thoroughly. At the end, we present a case study on HAR, using UCIHAR, a standard benchmark dataset that exhibits the practical implementation of the framework on different Machine Learning as well as Deep Learning models.
IoT-Based Human Activity Recognition for Smart Living
EAI/Springer Innovations in Communication and Computing
Marques, Gonçalo (editor) / Saini, Jagriti (editor) / Dutta, Maitreyee (editor) / Saha, Anindita (author) / Roy, Moumita (author) / Chowdhury, Chandreyee (author)
2023-04-22
29 pages
Article/Chapter (Book)
Electronic Resource
English
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