Facial Emotion Recognition using Deep Learning
نویسنده
چکیده
Facial emotion recognition is one of the most important cognitive functions that our brain performs quite efficiently. State of the art facial emotion recognition techniques are mostly performance driven and do not consider the cognitive relevance of the model. This project is an attempt to look at the task of emotion recognition using deep belief networks which is cognitively very appealing and at the same has been shown to perform very well for digit recognition (Hinton et.al. 2006). We look at the effects of varying number of hidden layers and hidden units on the performance of the model and attempt to develop important insights into the features learnt by the model. Also we observe that as found various psychological findings our model finds lower spatial frequency more useful for recognizing facial expressions than higher spatial frequency data.
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تاریخ انتشار 2011