Nugraha P. Utama

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We examined the temporal characteristics of facial-emotion processing. The stimuli were several morphed images containing seven facial emotions (neutral, anger, happiness, disgust, sadness, surprise, and fear) and ten-graded intensity levels to parametrically control these aspects of facial emotions. Brain activity was recorded with electroencephalography(More)
Two aspects of facial emotions are type and intensity level. This study is an attempt to find the relation of electrode location and latencies of EEG data with specific aspects of facial emotions. A neural network was applied to single trial EEG data for classifying the type and intensity level of facial emotions. Images of two types of facial emotions(More)
Ultrasound imaging became a promising way to acquire normal or abnormal condition of most human organ since it provides several advantages compared to other imaging modalities. This study used ultrasound as an alternative imaging technique to acquire a colon image and determine the thickness of the colon wall. The normal or abnormal colon condition can be(More)
Fasting can influence psychological and mental states. In the current study, the effect of periodical fasting on the process of emotion through gazed facial expression as a realistic multisource of social information was investigated for the first time. The dynamic cue-target task was applied via behavior and event-related potential measurements for 40(More)
This paper explains the effect of denoising algorithm to classify emotional expression through Electroencephalogram (EEG). This research led to classify the EEG features due to emotions which was induced by the facial expression stimulus include of happy and sad and neutral cases. Time-frequency features was extracted to probe the ability of Improved Fast(More)
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