IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v9y2013i4p385276.html
   My bibliography  Save this article

A Dynamic Approach to Recognize Activities in WSN

Author

Listed:
  • Muhammad Arshad Awan
  • Zheng Guangbin
  • Shin-Dug Kim

Abstract

The essence of context awareness has changed the revolution of ubiquitous computing, and the wireless sensor network technologies paved the way towards many applications. Activity recognition is a key component in identifying the context of a user for providing services based on the application. In this study, we propose a context management model that is based on activity recognition. The model is composed of four components: a set of sensors, a set of activities, a backend server with machine learning algorithms, and a GUI application for the interaction with the user. A prototype is developed to show the usability of the proposed model. As a pilot testing, only accelerometer data of an Android phone is used to identify the activities of daily living (ADLs): sitting, standing, walking, and jogging. A good accuracy of results that is about 96% on average is achieved in all activities.

Suggested Citation

  • Muhammad Arshad Awan & Zheng Guangbin & Shin-Dug Kim, 2013. "A Dynamic Approach to Recognize Activities in WSN," International Journal of Distributed Sensor Networks, , vol. 9(4), pages 385276-3852, April.
    • Handle: RePEc:sae:intdis:v:9:y:2013:i:4:p:385276
    DOI: 10.1155/2013/385276
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2013/385276
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/385276?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:sae:intdis:v:9:y:2013:i:4:p:385276. 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: SAGE Publications (email available below). General contact details of provider: .

    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.