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We present a robust method to map detected facial Action Units (AUs) to six basic emotions. Automatic AU recognition is prone to errors due to illumination, tracking failures and occlusions. Hence, traditional rule based methods to map AUs to emotions are very sensitive to false positives and misses among the AUs. In our method, a set of chosen AUs are(More)
As electronic gadgets become more user friendly, we find natural interaction with the gadgets becoming increasingly popular. Haptic devices have become immensely popular and touch and gesture based interfaces are the logical extension to natural user interaction. We propose to use facial expressions for natural interaction, especially for gadgets like smart(More)
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