Gaze behavior in mixed facial emotion recognition task
Gaze behavior in mixed facial emotion recognition task is a scholarly work, published in 2018 in ''International Journal of Psychophysiology''. The main subjects of the publication include object, convolutional neural network, Enhanced Data Rates for GSM Evolution, orientation (vector space), artificial intelligence, convolution, computer vision, Hough transform, Viola–Jones object detection framework, eye tracking, artificial neural network, support vector machine, minimum bounding box, cognitive neuroscience of visual object recognition, facial recognition system, gesture recognition, pattern recognition, and computer science. Estimating position and orientation of the object by using machine vision is essential in industrial automation.