Artificial intelligence in recognizing human feelings and emotions

Summary article – Artificial intelligence in recognizing human feelings and emotions in real time. Specifically, a fully automatic system, which is capable of detecting the emotional reactions of a person, based on both the body language, the tone of the voice, the facial expression and on the GPT (Generative Pre-Trained Transformer).

It is obvious that the rapid development of GPT He managed to scare many people, and created fears in many fields of activity. The main problem for many, is that one day, their job could be done by some robots equipped with artificial intelligence. A fear with a very real base, if we look at how quickly it implements Microsoft GPT-4 In bing, in applications Office Microsoft 365, AI Builder And in other applications where human creativity and execution were needed.

The safety refuge of many is in the idea that artificial intelligence will never be able to replace the man. Even if ChatGPT He is able to provide answers to almost anything, he has a great minus, which distinguishes this technology of human being. Artificial intelligence (AI) He has no feelings and cannot understand the feelings of a man. Emotional feelings and reactions are characteristic of life. Humans and animals have these capabilities.

Artificial intelligence in recognizing human feelings and emotions in real time

Although psychologists can be quiet, because you will not be able to take their place (yet), the current technology has allowed the development of algorithms and Artificial intelligence systems that can detect and interpret human emotions and feelings, to some extent.

To detect and interpret human emotions, artificial intelligence systems often use techniques of Recognition of natural language, like Analysis of voice tone SI and facial expression. These techniques involve the analysis of non-verbal signals, such as intonation, rhythm and inflections, as well as facial expressions, such as forehead wrinkles, smile or look.

Although artificial intelligence systems are capable of detecting human emotions and feelings, they are not always 100% accurate, because there are many individual variations in expressing and interpreting emotions. Also, the interpretation of the context is an important part of understanding human emotions, and this can be difficult to achieve for the systems of artificial intelligence.

Artificial intelligence in recognizing human feelings and emotions
Artificial intelligence in recognizing human feelings and emotions

Areas where technology is applied in AI of detecting emotions and feelings

The technology of detecting human emotions and feelings can be used in different fields, such as market research, psychology, marketing and development of more intelligent and more adaptable human interfaces.

Applications such as MotphCast, has long developed solutions based on Emotion AI (Affective Computing) and Facial Emotion Recognition (FER). These solutions are based on emotional artificial intelligence, very useful in fields such as: marketing, education or medicine.

Morphcast can be used in marketing To evaluate the updates of users in real time, so that companies can adjust their marketing campaigns according to the immediate feedback of customers. The application can be used To evaluate the level of interest and commitment of the students during online courses. This evaluation can help improve the way the courses are delivered and increase the efficiency of the learning process.

Morphcast can also be used to monitor patient condition and evaluate pain or discomfort during medical treatments.

Solutions that use Artificial intelligence In the recognition of feelings, they have been developed for many years, by several companies around the world, but they have not succeeded and will not be able to replace psychologists or researchers in neuroscience.

Passionate about technology, I write with pleasure on stealthsetts.com starting with 2006. I have a rich experience in operating systems: Macos, Windows and Linux, but also in programming languages ​​and blogging platforms (WordPress) and for online stores (WooCommerce, Magento, Presashop).

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