ElectroEncephaloGraphics: A Novel Modality For Graphics Research by Mustafa Maryam

Author:Mustafa, Maryam
Language: eng
Format: epub
Publisher: Books on Demand
Published: 2015-09-30T16:00:00+00:00

Table 4.4.: Single trial classification accuracy using data from back electrodes (PO3, O1, Oz, O2, PO4) and front electrodes (F7, F3, Fz, F4,and F8) on a per-artifact basis with correct classifications on the diagonal.

Another issue is the absence of eye movement information for more complicated test scenes. For our current video we could assume all participants were following the moving person since there was only one type of movement in the video. We also assumed that the response to motion artifacts was based on the inherent properties of how the visual system perceives motion and not on the positioning of the motion versus non-motion artifacts. This assumption could be made because the experiment was designed to ensure all artifacts appeared withitn the central (5º), paracentral (8º) or macular (18º) field of vision. However, this becomes a problem with more complicated test scenes and for that we need to use an eye tracker. This would allow us to incorporate information regarding the exact viewing pattern of the participants during stimuli presentation. A more complete picture of participants’ eye gaze pattern during stimuli presentation is essential for advances in realistic image and video synthesis. Also, using sensors to capture physiological data would provide more concrete information regarding the participants’ emotional state during trials.

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