نتایج جستجو برای: emotion recognition
تعداد نتایج: 293516 فیلتر نتایج به سال:
This paper presents a method for facial emotion recognition based on parameterized photograms and machine learning techniques. Videos of people displaying emotions are by means feature-based emotional category association process to determine whether given photogram expresses comparing the action units displayed with findings in literature about emotion. To test proposed approach, two strategie...
Two studies examined an unexplored motivational determinant of facial emotion recognition: observer regulatory focus. It was predicted that a promotion focus would enhance facial emotion recognition relative to a prevention focus because the attentional strategies associated with promotion focus enhance performance on well-learned or innate tasks - such as facial emotion recognition. In Study 1...
Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound. In this study, we propose Spectral Pattern features (SPs) and Harmonic Energy features (HEs) for emotion recognition. These features extracted from the spectrogram ...
Speech and emotion recognition improve the quality of human computer interaction and allow more easy to use interfaces for every level of user in software applications. In this study, we have developed the emotion recognition neural network (ERNN) to classify the voice signals for emotion recognition. The ERNN has 128 input nodes, 20 hidden neurons, and three summing output nodes. A set of 9793...
Recognizing human emotion from speech signals, i.e., spoken emotion recognition, is a new and interesting subject in artificial intelligence field. In this paper we present a new method of spoken emotion recognition based on radial basis function neutral networks (RBFNN). The acoustic features related to human emotion expression are extracted from speech signals and then fed into RBFNN for emot...
Borderline personality disorder (BPD) is characterized by distinct impairments in emotion regulation, resulting in affective instability especially in the social context. It has been suggested that impaired social cognitive functioning such as impaired facial emotion recognition contributes to the social disturbances in BPD. In accordance with this notion, a number of behavioral studies have re...
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