Download the sample. The Face API can perform emotion detection to detect anger, contempt, disgust, fear, happiness, neutral, sadness, and surprise, in a facial expression based on perceived annotations by human coders. It is important to note, however, that facial expressions alone may not necessarily represent the internal states of people. In addition to returning an emotion result for a facial expression, the Face API can also returns a bounding box for detected faces.
Reading facial expressions isn't the only way we understand the emotions of others. We rely on a variety of information, including tone of voice Paulmann and Uskul , body language Aviezer et al , and contextual cues Aguert et al Nevertheless, our ability decode faces is very important, and may be linked with several measures of success and social competence.
One of the most interesting fields in the study of human-computer interaction is that of emotion recognition through the use of facial expression detection. Facial recognition technology is already an established system used to identify a person by analyzing their face from a digital image or video frame. Facial recognition systems are inextricably linked with artificial intelligence technology. One of the ways that artificial intelligence is used in facial recognition is in facial expression recognition. And one of the ways in which artificial intelligence is providing facial emotion recognition is in job interviews.