Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/24056
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Davchev, Dancho | en_US |
dc.contributor.author | Arsic, Marjan | en_US |
dc.contributor.author | Ilievski, Dalibor | en_US |
dc.contributor.author | Kulakov, Andrea | en_US |
dc.date.accessioned | 2022-11-01T13:01:11Z | - |
dc.date.available | 2022-11-01T13:01:11Z | - |
dc.date.issued | 2007-07-22 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/24056 | - |
dc.description.abstract | The objective of this paper is to present a part of m-learning process developed at our University at the Faculty of Electrical Engineering in the field of image processing. The basic courses in this field are on the Faculty Web. The multimedia illustration of the basic methods in image processing is realized both on Desktop PC and on handheld (PDA) devices equipped with cameras and could be used individually by each student. The students can take photos with the cameras and interactively learn about the results of the image processing algorithms. For efficient use of the handheld devices we developed a suitable HCI. According to the surveys with 20 students at the last year of study, their experience with our specially developed tools for m-learning is very positive. | en_US |
dc.publisher | Springer, Berlin, Heidelberg | en_US |
dc.subject | Mobile learning, image processing, HCI, Gabor 2D, Pocket PC | en_US |
dc.title | HCI for m-Learning in Image Processing by Handhelds | en_US |
dc.type | Proceedings | en_US |
dc.relation.conference | Symposium on Human Interface and the Management of Information | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
Files in This Item:
File | Description | Size | Format | |
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978-3-540-73354-6_33.pdf | 2.22 MB | Adobe PDF | View/Open |
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