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Emotion recognition is a technique used in software that allows a program to "read" the emotions on a human face using advanced image processing. Companies have been experimenting with combining sophisticated algorithms with image processing techniques that have emerged in the past ten years to understand more about what an image or a video of a person's face tells us about how he/she is feeling.
With advances in technology, emotion recognition software has become very capable. Besides its ability to track basic facial expressions for emotion such as sadness, happiness, anger, surprise, etc., emotion recognition software can also capture what experts call "micro-expressions" or subtle body language cues that may betray an individual’s feelings without his/her knowledge.
In many senses, emotion recognition goes along with other kinds of facial profiling such as biometric image recognition. And both of these types of technology can be used for the same types of security purposes. For instance, law enforcers can use emotion recognition software to try to get more information about someone during interrogation. Emotion recognition continues to evolve in much the same way as other new technologies like natural language processing are advancing, and these advances are largely made possible by the combination of ever more powerful processors, the scientific development of sophisticated algorithms, and other related innovations.