Artificial intelligence detects nine emotional states of animals by analyzing their faces

Researchers have created an artificial intelligence computer system that determines the emotional state of farm animals and whether they are happy or not, as understanding how the animals feel will better help improve their living conditions and quality of life, and thousands of pictures of cows and pigs from six farms around World Training Network called the WUR Wolf, which was accurate 85% of the time.

The program was developed by Dr. Suresh Nithiraat from the University of Wageningen in the Netherlands, where deep learning algorithms were used to identify 13 facial procedures, which included differences in the animals ears, eyes, and behavior, and then these were associated with nine different emotional states, including In it, whether the animal is aggressive, calm or neutral.

If a cow's ears are upright, for example, it is likely to be excited, but if its ears are pointing forward, it is likely that it is experiencing negative emotions such as frustration.

Pig marks are also very focused on the ear, and if it is trembling quickly, it is likely that it feels nervous, whereas if it is hanging and flipping towards the eye, the animal is in a neutral state.

These indicators provide insights into how the animals are feeling and can be used to monitor farm animals to make sure they are as happy as possible.

Dr. Nithiragat said, there is a need to move away from simply eliminating negative emotional states to providing positive ones, such as playful behavior.

He believes that it will take several years for the technology to be ready for use on farms, and the ability to track and analyze animal sentiment will be a major advance in creating audit tools for animal welfare.

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