Disney Uses AI To Predict Viewers’ Expressions
Disney Uses AI To Predict Viewers’ Expressions

We all know that the artificial intelligence is gradually introduced into our lives and now more & more companies are taking over this technology. However, the last has been Disney, who is using artificial intelligence to predict public behavior during the screening of its films.

Disney Uses AI To Predict Viewers’ Expressions

The artificial intelligence is gradually introduced into our lives. So much so that more and more companies are taking over this technology. The last has been Disney, who is using artificial intelligence to predict public behavior during the screening of its films. Specifically, the film and animation company has begun to use facial recognition technologies in the last film passes it has made.

The Disney research team is using deep learning techniques that allow you to find out the facial expressions of the audience before projecting a film. Through artificial intelligence, Disney can know how we react as we watch a movie and evaluate the emotions we feel.

The algorithm used is called “factorised variational autoencoders” (FVAEs) and is able to predict how a viewer will react during a movie by simply analyzing their facial expressions for ten minutes.

The facial recognition system of Disney is a more advanced version of recommendation systems using Amazon for us to make our purchases online, where we’ll suggest new products based on our purchase history. The FVAEs go further and recognize a number of facial expressions in viewers, such as smiles and laughter – something similar the tech giant Apple is working on. Thanks to artificial intelligence, Disney will know if we see a movie when we laugh when it matches or if we get so bored that we start yawning.

“The FVAEs have been able to learn concepts like smiling and laughing on their own, and how these expressions correlate with humorous scenes,” explained Zhiwei Deng, a member of the company’s research team Phys.org.

This experiment was performed in a theater with capacity for 400 people where four infrared cameras will be placed. The company team was recording the audience during 150 screenings of nine films including “The Jungle Book”, “Big Hero 6” or “Star Wars: The Awakening of Strength” or “Zootopia”.

The final result showed 16 million facial reference points in 3,179 spectators. The collected data are automatically interpreted into a series of numbers representing facial expressions such as smile or eyes open. These numbers are connected through meta data, allowing the system to evaluate how an audience is reacting to a movie. And thus to predict the behavior of the spectators during the projection of a feature film.

AI can also help us in other ways, for example in caring for the elderly, picking up the signals that emit their body language. “People do not always explicitly say they are unhappy or have a problem,” said Yisong Yue, who has also participated in this study.

So, what do you think about this? Simply share your views and thoughts in the comment section below.



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