IDEAS home Printed from https://ideas.repec.org/a/igg/jaci00/v10y2019i2p18-33.html
   My bibliography  Save this article

An Architectural Framework for Facebook Messenger Chatbot Enabled Home Appliance Control System

Author

Listed:
  • Segun Aina

    (Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria)

  • Samuel Dayo Okegbile

    (Obafemi Awolowo University, Ile-Ife, Nigeria)

  • Perfect Makanju

    (Obafemi Awolowo University, Ile-Ife, Nigeria)

  • Adeniran Ishola Oluwaranti

    (Obafemi Awolowo University, Ile-Ife, Nigeria)

Abstract

The need to remotely control home appliances is an important aspect of home automation and is now receiving lot of attentions in the literature. The works so far are still at a development level making further research necessary. This article presents a framework for chatbot-controlled home appliance control system and was implemented by programming a Raspberry Pi using the Python language while the chatbot server was also implemented using a Node.js on JavaScript. The Raspberry Pi was connected to the chatbot server via Wi-Fi using a websockets protocol. The chatbot server is linked to Facebook Messenger using the Messenger Application Protocol Interface. Messages received at the chatbot server are analyzed with RasaNLU to classify the user's intention and extract necessary information which are sent over websocket to the connected Raspberry pi. The system was evaluated using control precision and percentage correct classification with both producing a significant level of acceptance. This work produced a Facebook Messenger chatbot-based framework capable of controlling Home Appliances remotely.

Suggested Citation

  • Segun Aina & Samuel Dayo Okegbile & Perfect Makanju & Adeniran Ishola Oluwaranti, 2019. "An Architectural Framework for Facebook Messenger Chatbot Enabled Home Appliance Control System," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 10(2), pages 18-33, April.
    • Handle: RePEc:igg:jaci00:v:10:y:2019:i:2:p:18-33
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJACI.2019040102
    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:jaci00:v:10:y:2019:i:2:p:18-33. 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.