Alexandre Lefevre In Germany, scientists specializing in sports science and computer science have developed an artificial intelligence model capable of detecting athletes’ emotions. This technological advancement opens up new perspectives in the field of sports training, health, and many other sectors.
Researchers have developed an artificial intelligence model that can identify the emotional states of tennis players by analyzing their body language during matches. This technology promises applications in various fields such as sports training, health, and other sectors, but it also raises ethical questions regarding data privacy.
To conduct their study, researchers used videos of tennis players recorded during actual matches to train the AI model. The model was able to identify affective states with an accuracy of up to 68.9%, sometimes proving to be even superior to human observers’ assessments.
The use of real scenes for training the AI was a unique feature of this study. Researchers recorded tennis players’ reactions after winning or losing a point, focusing on their body language. After being fed with this data, the AI learned to associate body language signals with different emotional reactions.
The research also showed that AI algorithms could surpass humans in recognizing emotions in the future, particularly negative emotions. However, it also emphasizes that the risks related to privacy and misuse of data must be considered.
Despite the potential of this technology in various fields, it is crucial to clarify the ethical and legal issues for its future use. Researchers stress the strict adherence to data protection regulations for any practical application of this technology.
Source of the article: Francetvinfo
