Humberto Pérez Espinosa

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Depression is a disease that affects a considerable portion of the world population. Severe cases of depression interfere with the common live of patients, for those patients a strict monitoring is necessary in order to control the progress of the disease and to prevent undesired side effects. A way to keep track of patients with depression is by means of(More)
This paper examines the importance of different groups of speech acoustic features in the estimation of emotional primitives which define a three-dimensional continuous model of emotions. A set of proposed features is extracted from a database of German spontaneous emotional speech. This features set tries to represent several aspects of emotional content(More)
In this work we present the design of an Automatic Emotion Recognizer which tries to take advantage of three soft computing techniques: Neural Networks, Fuzzy Inference Systems and Genetic Algorithms in order to indentify and classify emotions from a speech signal. The classification is done between two emotional states: Negative and Idle. The emotion(More)
In this paper we describe a new technique to create virtual environments using photographs. A mobile robot is used to take pictures automatically, that are used in an image rendering system. Using a mobile robot allows to take photographs of large areas easily and accurately. Our Virtual and Real Robot (ViRBot) System is used to control the movements of a(More)