Emotion Recognition

Have you ever thought of any sort of interaction with any machine through emotion recognition? Yes, this is the area of the science which many want to uncover but still not able to encompass. With the constant advancement of Automated Emotion Evaluation(AEE), the emotion recognition technologies are trying to establish itself in the market. As we have a lot of advance technologies with us to make everything so easier and are still keen as mustard for more. This technology will definitely prove a boon for all of us.

Emotion recognition is a technique used in software that helps a computer to “sense” emotions on a human face through advanced image processing. Companies have been experimenting with integrating advanced algorithms with image processing techniques that have evolved in the last ten years to learn more about what the picture or video of a person’s face tells us about how he / she feels, and not only that, but also the possibility of mixed emotions a face may have.

AEE still influence a lot of great fields which are constantly developing like robotics, entertainment, education, and marketing.

  • in entertainment industries: to propose the most appropriate entertainment for the target audience
  • in education: used for improving learning processes, knowledge transfer, and perception methodologies
  • in marketing: to create specialized adverts, based on the emotional state of the potential customer
  • in robotics: to design smart collaborative or service robots which can interact with humans 

The literature presented in science attempts to classify the emotions, feelings, and set boundaries between emotions, mood, and their affects. According to the classifications done the definitions of some terms are:

  • “emotion” is a response of the organism to a particular stimulus (person, situation or event). Usually it is an intense, short duration experience and the person is typically well aware of it;
  • “affect” is a result of the effect caused by emotion and includes their dynamic interaction;
  • “feeling” is always experienced in relation to a particular object of which the person is aware; its duration depends on the length of time that the representation of the object remains active in the person’s mind;
  • “mood” tends to be subtler, longer lasting, less intensive, more in the background, but it can affect affective state of a person to positive or negative direction

The thesis also analyzes the concept of humanizing the Internet of Things and affective computing systems that have been validated by the systems developed by the authors of this analysis.Intelligent computers with human compassion are likely to make the planet a better place. The IoT sector is certainly moving ahead in recognizing human emotions thanks to advances in human emotion recognition (sensors and methods), computer vision, voice recognition, deep learning, and related technologies.

According to Stefan Winkler, CEO and Co-Founder of Opsis, the approach of his business is unique in that it provides fine-grained calculations in two dimensions: valence (positive vs. negative emotions) and anticipation (energy vs. passive expressions). This allows the machine to consider more emotions than the seven main ones – optimistic, sad, pleased, shocked, frightened, frustrated, and disgusted – in competing solutions.

Winkler noted that the understanding of feelings would only improve and improve the approval of consumers. “There have been several studies, such as Markets and Markets, that forecast that the Emotion Detection and Recognition Market will rise from US$ 6.72 billion in 2016 to US$ 36.07 billion by 2021, at a compound annual growth rate ( CAGR) of 39.9% between 2016 and 2021. Any recent high-profile acquisitions demonstrate the tremendous scope and increasing need for approaches for emotional identification. With all this high-profile takeover, A.I. is revealing. It’s set to grow, and these technologies are very much sorted out, “he said. “Our customers have been very receptive to this new avenue of recognition and understanding of the emotions of our customers.

Our clients, such as SP / SI, have shown interest in integrating feelings for a successful strategy and visualizing how consumers respond to their marketing strategies. OEM / SDK vendors are involved in integrating smart nation programs into their security approach. They expect that emotional awareness has a great potential to be incorporated in IoTs and Smart Nation for monitoring, wearable and end-sensing tools.

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