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Smelling the web olfactory display for web objects
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 6 (31 Dec. 2015)
Publisher
Publication Date
2015-12-31
Country of Publication
Jordan
Main Subjects
Abstract EN
Internet technology has gone a very far in term of advances and improvements, flash players, video components and other multimedia support are incorporated into the recent web pages.
Also services provided such as clouding, storage system, online banking and e-commerce are very common and used on daily basis, still there are many missing components regarding more human interaction with the web page, rather than just seeing and clicking.
In this paper, we implemented a system that’s capable of identifying mouse location onto a web page and capturing that component (mostly images) extracting its meta-data and Exchangeable Image File Format (EXIF) information, this information is processed further by a basic natural language processing subsystem providing it with text parsing results after tokenizing the string, this is to come with a single conclusion: What dose this image represents.
The result is normally a single descriptive word corresponds to that image sent to a microcontroller to be analyzed through a table with corresponding values essentially a set of pulses and signals data, to display it as a smell corresponds to the item under the mouse by applying the pulses to the atomizer to give the user the smell of that object.
We found that the system has high successful identification ratio over websites with fairly accurate image identification ratio.
American Psychological Association (APA)
Abid, Sad& Li, Zhiyong& Li, Renfa. 2015. Smelling the web olfactory display for web objects. The International Arab Journal of Information Technology،Vol. 12, no. 6.
https://search.emarefa.net/detail/BIM-581219
Modern Language Association (MLA)
Abid, Sad…[et al.]. Smelling the web olfactory display for web objects. The International Arab Journal of Information Technology Vol. 12, no. 6 (2015).
https://search.emarefa.net/detail/BIM-581219
American Medical Association (AMA)
Abid, Sad& Li, Zhiyong& Li, Renfa. Smelling the web olfactory display for web objects. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 6.
https://search.emarefa.net/detail/BIM-581219
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-581219