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The market for emotion detection and recognition (EDR) was worth USD 19.87 million in 2020, and it’s expected to rise to USD 62 million by 2026, with a CAGR of 18.01 percent over the forecast period (2021 – 2027). During the interaction process between humans and computer communication systems, knowing emotions is important. EDR not only improves human-computer interfaces, but it also improves the behavior taken by machines in response to user input.
In the field of human-computer interaction (HCI), there is a growing interest in using not only explicit function-oriented signals, but also implicit “affective” or “emotional” signals to promote communication between a human user and a technological device. Emotion Recognition is a crucial field of study to achieve successful human-computer interaction. Speech signals, facial gestures, body language, and electroencephalography can all be used to identify human emotions (EEG).
Emotion recognition is a software technique that allows a computer to “examine” the emotions on a human face using advanced image processing. Firms have been experimenting with a combination of sophisticated formulas and image processing practices that have emerged in the last decade to gain a better understanding of what a video or image of a person’s face tells us about how they are feeling. Emotion recognition software has advanced significantly in recent years because of technological advancements. Furthermore, in addition to its ability to monitor first facial looks for emotions such as happiness, sorrow, surprise, rage, and so on, emotion detection software can also capture what experts refer to as “micro-expressions,” or restrained signals of body language, which can disclose a person’s feelings without their awareness.
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