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Classification of cognitive states of attention and relaxation using supervised learning algorithms

Sosa Jimenez, C.O., Mesa, H.G.A., Rebolledo-Mendez, G. and de Freitas, S. (2011) Classification of cognitive states of attention and relaxation using supervised learning algorithms. In: IEEE International Games Innovation Conference, IGIC 2011, 2 - 3 November, Orange, CA, United States pp. 31-34.

Link to Published Version: http://dx.doi.org/10.1109/IGIC.2011.6115125
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Abstract

The study of cognitive states has attracted the attention of artificial intelligence researchers searching for mechanisms to enable brain-computer communication. With the advent of portable brain-computer interfaces, it is now possible to study human behaviors towards using cognitive states in gaming environments. NeuroSky's Mindset is a device with the operating principle of enabling portable EGG sensors to allow the reading of brain frequencies in real time. We believe that this type of device may be a very adaptable option to videogames to create new experiences and allow a new control mechanism. This interaction would be easy and natural and based less on motion and physical effort. This paper reports an assessment of the Mindset reader, particularly in relation to classifying the cognitive states of attention and relaxation, behaviors associated to the brain waves read by the device, using supervised learning algorithms. The aim is to estimate behaviors using human brain frequencies as inputs.

Publication Type: Conference Paper
Publisher: IEEE
Copyright: © 2011 IEEE.
URI: http://researchrepository.murdoch.edu.au/id/eprint/26458
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