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. © Springer International Publishing Switzerland 2013.
CITATION STYLE
Uǧurlu, Y. (2013). Wearable context recognition for distance learning systems: A case study in extracting user interests. Studies in Computational Intelligence, 493, 65–75. https://doi.org/10.1007/978-3-319-00804-2_5
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