Advertisement
Published in:
2013 | OriginalPaper | Chapter
Wearable Context Recognition for Distance Learning Systems: A Case Study in Extracting User Interests
Author : Yücel Uğurlu
Published in: Computer and Information Science
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
We propose a novel approach to context recognition for use in extracting user interests in e-learning systems. Under our approach, a series of screen images are captured by an imaging device worn by the user engaged in elearning. From these images, vendor logo information is detected and used to deduce the e-learning context. The compiled history of recognized context and elearning access can then be compared to extract low-interest topics. Experimental results show that the proposed approach is robust and able to identify the proper context 96% of the time.