Alexis Narvaez

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In this work we address the use of support vector machines in multi-category problems. In our case, the objective is to classify eight different kinds of alcohols with just one SnO 2 sensor using thermomodulation. The use of support vector machines in the field of sensors signals recognition is beginning to be used due to the ability to generalize in a(More)
This paper presents the construction of a multimodal dataset for deception detection, including physiological, thermal, and visual responses of human subjects under three deceptive scenarios. We present the experimental protocol, as well as the data acquisition process. To evaluate the usefulness of the dataset for the task of deception detection, we(More)
In this paper, we explore a thermal imaging approach to sensing affective state. Using features extracted from a thermal map of the face, obtained from a dataset consisting of 70 recordings of positive, negative, or neutral states, we show that we can effectively predict the presence of affect, with an error reduction of up to 50% as compared to a majority(More)
In this paper, we explore a multimodal approach to sensing affective state during exposure to visual narratives. Using four different modalities, consisting of visual facial behaviors, thermal imaging, heart rate measurements, and verbal descriptions, we show that we can effectively predict changes in human affect. Our experiments show that these modalities(More)
  • A. Narvaez
  • 2005
The automatic generation control - AGC has as the main objective keep the system frequency and the net interchange in the tie lines near to their scheduled values through generation set points in the units conditioned to this purpose. Consequently, the AGC implementation requires a careful process of tuning and testing of the remote control devices for(More)
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