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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Wearable Context Recognition for Distance Learning Systems: A Case Study in Extracting User Interests
verfasst von : Yücel Uğurlu
Erschienen in: Computer and Information Science
Verlag: Springer International Publishing
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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.
