IDEAS home Printed from https://ideas.repec.org/a/igg/jebr00/v13y2017i2p58-78.html
   My bibliography  Save this article

Analytical Review on Ontological Human Activity Recognition Approaches

Author

Listed:
  • Samaneh Zolfaghari

    (Department of Computer Engineering, Alzahra University, Tehran, Iran)

  • Mohammad Reza Keyvanpour

    (Department of Computer Engineering, Alzahra University, Tehran, Iran)

  • Raziyeh Zall

    (Department of Computer Engineering, Alzahra University, Tehran, Iran)

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.

Suggested Citation

  • Samaneh Zolfaghari & Mohammad Reza Keyvanpour & Raziyeh Zall, 2017. "Analytical Review on Ontological Human Activity Recognition Approaches," International Journal of E-Business Research (IJEBR), IGI Global, vol. 13(2), pages 58-78, April.
    • Handle: RePEc:igg:jebr00:v:13:y:2017:i:2:p:58-78
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEBR.2017040104
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jebr00:v:13:y:2017:i:2:p:58-78. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.