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Classifying Emotion Using Convolutional Neural Networks
2019
UC Merced Undergraduate Research Journal
Despite the computer's historical success as a communication tool, machines themselves have yet to fully master the most basic forms of nonverbal communication that we humans use daily. Gender, ethnicity, age and emotional state is often perceived immediately by most humans engaging in conversation. In face-to-face interactions, humans can form broad generalizations about an individual's social status, health, and well-being within a blink of an eye. Training a classifier algorithm to
doi:10.5070/m4111041558
fatcat:tzn3lg4lr5g6tdm47yafcqd3su