Analytical Review on Ontological Human Activity Recognition Approaches

Analytical Review on Ontological Human Activity Recognition Approaches

Samaneh Zolfaghari (Department of Computer Engineering, Alzahra University, Tehran, Iran), Mohammad Reza Keyvanpour (Department of Computer Engineering, Alzahra University, Tehran, Iran) and Raziyeh Zall (Department of Computer Engineering, Alzahra University, Tehran, Iran)
Copyright: © 2017 |Pages: 21
DOI: 10.4018/IJEBR.2017040104

Abstract

New advancements in pervasive computing technology have turned smart homes into a daily living monitoring tool increasingly used for elderly. Recently, using knowledge driven approaches such as ontology to introduce semantic smart homes has received attention due to their flexibility, reasoning and knowledge representation. Due to the vast number of ontological human activity recognition methods, the proposed ontological human activity recognition framework can be effective in analyzing and evaluating different methods in different applications and dealing with various challenges. Also, due to numerous challenges involved in different aspects of ontology-based human activity recognition in smart homes, this paper offers a classification for challenges in human activity recognition in ontology based systems. Then the proposed ontological human activity recognition framework is evaluated based on the proposed classification and ontology-based techniques which are thought to solve some of the challenges are examined and analyzed.
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Ontology-Based Human Activity Recognition In Ssh

The nature of SSH is to have data definition within and across smart homes and linked in a way that they can be used for discovery, processing, automation, integration and reuse across different applications effectively (Chen, Nugent, Mulvenna et al., 2009).

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