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The phrase "automatic expression" is correct and usable in written English.
It can be used in contexts where something is expressed or generated automatically, often in relation to technology or communication.
Example: "The software features an automatic expression of user preferences based on previous interactions."
Alternatives: "automated response" or "instantaneous expression".
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While artificial neural networks are regularly employed in modeling the perception of facial and vocal emotion expression as well as in automatic expression decoding by artificial agents, this approach is yet to be extended to the modeling of emotion elicitation and differentiation.
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Emotional cues can be obtained by automatic analysis of facial expression, voice and speech [4], physiological signals (e.g., respiration, Galvanic skin resistance, skin temperature, eye blinking rate, electromyogram, electroencephalograph, and blood flow) [5], or their combinations.
In the last step of an automatic facial expression recognition system, i.e., facial expression classification, a classifier is employed to identify different expressions based on the extracted facial features.
An automatic facial expression recognition system generally comprises of three crucial steps [2]: face acquisition, facial feature extraction, and facial expression classification.
ALENE BIKLE Mildred Cohen is one of the many who question what she calls the "ubiquitous, automatic, meaningless expression 'Have a nice day,' " and the usual response, "You too".
Automatic facial expression analysis is a long researched problem.
Various techniques have been developed for automatic facial expression recognition.
The block diagram of the automatic facial expression recognition system is shown in Figure 1.
Thus, automatic facial expression recognition in the human-computer environment is an essential and challenging task.
We propose an automatic math expression reading system, called i-Math.
State-of-the-art reviews of automatic facial expression detection techniques can be found in [7] and [8].
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