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Review on Human Action Recognition in Smart Living: Multimodality, Real-time Processing, Interoperability, Resource-Constrained Processing, and Sensing Technology
Diraco, G.; Rescio, G.; Siciliano, P.; Leone, A. Review on Human Action Recognition in Smart Living: Sensing Technology, Multimodality, Real-Time Processing, Interoperability, and Resource-Constrained Processing. Sensors2023, 23, 5281.
Diraco, G.; Rescio, G.; Siciliano, P.; Leone, A. Review on Human Action Recognition in Smart Living: Sensing Technology, Multimodality, Real-Time Processing, Interoperability, and Resource-Constrained Processing. Sensors 2023, 23, 5281.
Diraco, G.; Rescio, G.; Siciliano, P.; Leone, A. Review on Human Action Recognition in Smart Living: Sensing Technology, Multimodality, Real-Time Processing, Interoperability, and Resource-Constrained Processing. Sensors2023, 23, 5281.
Diraco, G.; Rescio, G.; Siciliano, P.; Leone, A. Review on Human Action Recognition in Smart Living: Sensing Technology, Multimodality, Real-Time Processing, Interoperability, and Resource-Constrained Processing. Sensors 2023, 23, 5281.
Abstract
Smart living, a concept that has gained increasing attention in recent years, revolves around integrating advanced technologies in homes and cities to enhance the quality of life for citizens. Sensing and human action recognition are crucial aspects of this concept. Smart living applications span various domains, such as energy consumption, healthcare, transportation, and education, which greatly benefit from effective human action recognition. This field, originating from computer vision, seeks to recognize human actions and activities using not only visual data but also many other sensor modalities. This paper comprehensively reviews the literature on human action recognition in smart living environments, synthesizing the main contributions, challenges, and future research directions. This review selects five key domains: Sensing Technology, Multimodality, Real-time Processing, Interoperability, and Resource-Constrained Processing, as they encompass the critical aspects required for successfully deploying human action recognition in smart living. These domains highlight the essential role that sensing and human action recognition play in successfully developing and implementing smart living solutions. This paper serves as a valuable resource for researchers and practitioners seeking to explore further and advance the field of human action recognition in smart living.
Keywords
Review; Human action recognition; Smart living; Multimodality; Real-time processing; Interoperability; Resource-constrained processing; Sensing technology; Machine learning; Deep learning; Signal processing; Smart home; Smart environment; Smart city; Smart Community; Ambient Assisted Living
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
