They design software that detects students’ emotions in virtual classes
Virtuality took over education in the world on account of the quarantines as a result of the pandemic and with it many of the dynamics that were traditionally known in the classrooms have been lost. A microphone and a camera reduced the ability of teachers to know the reaction of students to their methodologies, to the topics proposed in the classes, among others.
It is no secret to anyone that a person’s body language communicates even more than words. For this reason, and in order to address this limitation that is presented to teachers today, Fine Solutions company developed artificial intelligence softwareHe who analyzes the facial expressions of the students and records their emotions from the position of the eyes, eyebrows and mouth via webcam. (Also read: This is the information that WhatsApp shares with Facebook companies)
With those parameters focused on the eyes, eyebrows and mouth, this technology detects emotions such as happiness, anger, sadness, fear, disgust, and even surprise. with an assertiveness range of up to 85%.
This Hong Kong-based tech company is one of several that are part of the facial recognition and emotion detection industry. By 2024 it is estimated that this sector will move about 56 billion dollars worldwide.
China, the pioneer
Facial recognition has been one of the most important technological revolutions of the decade and in turn it has opened certain debates about data protection and the legislation that should exist in this regard but which is still precarious in many countries of the world. Although there is still much to be developed in this regard, and surely in the coming years there will be several advances in this regard, better results than fingerprint biometrics. (We suggest you read: What happens in the brain when you go from speaking to typing?)
China was one of the first countries to use facial recognition. One of the uses they give it is as a safeguard of safety on the streets. In the streets of the Asian giant there are more than 300 million security cameras, which is why they can recognize a person in a crowd in a few seconds.
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