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• W100807069 abstract "Recent studies in affective computing are focused on sensing human cognitive context using biosignals. In this study, electrooculography (EOG) was utilized to investigate memory recall accessibility via eye movement patterns. 12 subjects were participated in our experiment wherein pictures from four categories were presented. Each category contained nine pictures of which three were presented twice and the rest were presented once only. Each picture presentation took five seconds with an adjoining three seconds interval. Similarly, this task was performed with new pictures together with related sounds. The task was free viewing and participants were not informed about the task's purpose. Using pattern recognition techniques, participants' EOG signals in response to repeated and non-repeated pictures were classified for with and without sound stages. The method was validated with eight different participants. Recognition rate in with sound stage was significantly reduced as compared with without sound stage. The result demonstrated that the familiarity of visual-auditory stimuli can be detected from EOG signals and the auditory input potentially improves the visual recall process." @default.
• W100807069 created "2016-06-24" @default.
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• W100807069 date "2014-01-01" @default.
• W100807069 modified "2023-09-23" @default.
• W100807069 title "Using eye movement analysis to study auditory effects on visual memory recall." @default.
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• W100807069 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4202595" @default.
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