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Emotion recognition from electrocardiography (ECG) signal has become an important research topic in the field of affective computing. In the current work, ECG signals from multiple subjects were collected when film clips shown to them, and then feature sets were extracted from precise location of P-QRS-T wave by continuous wavelet transform (CWT). Hybrid particle swarm optimization (HPSO) was utilized...
Automatic facial expression is a challenging task of intelligent human-computer interaction. In this paper, we present a comparative study on moments based feature extraction methods in terms of their capability to recognize facial expression images. The moments include Hu’s moments, Zernike moments, Wavelet moments and Krawtchouk moments. Krawtchouk moments are applied to facial expression analysis...
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