Indian Journal of Science and Technology
Year: 2017, Volume: 10, Issue: 24, Pages: 1-7
Mohammed A. Al-Hoshani and Shakeel Ahmed*
College of Computer Sciences and Information Technology, King Faisal University, Hofuf, Saudi Arabia; hoshani. [email protected], [email protected]
*Author for the correspondence:
College of Computer Sciences and Information Technology, King Faisal University, Hofuf, Saudi Arabia; [email protected]
This research aims to provide an easy way to visualize attention levels of a subject through neural interface device and to demonstrate the potential of a neural interface at low cost. A neuroheadset device can play an important role in measuring a subject’s attention and inform the subject about his/her attention levels. For few people, it would be better to measure the attention levels before doing an activity that could end up in bad results due to lack of attention which is a common problem in everything ranging from medical errors during operation to driving errors. In the research the attention level of the brain activity is measured to capture the mood of subjects more specifically which is based on two test cases the first test is carried out with a set of questions which includes logic puzzles and mathematical problems and the second test is with a game to measure subject’s attention. The system is organized with a set of assessment measures adopted by covariance matrix and cosine similarity metric. Experimental results demonstrate that our approach provides highly correlation among similar attributes under subjects with identical background.
Keywords: Brain Computer Interaction, Covariance Matrix, Cognitive Workload, Electroencephalography, Neuroheadset
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