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Huawei Facing Emotions

Huawei Facing Emotions

Huawei facing emotions

Huawei Facing Emotions – Chinese tech giant Huawei has developed an app that uses artificial intelligence to allow the visually impaired to “see” the emotion on the face of someone they are talking to by translating it into sound.

Facing Emotions, the app, developed with the Polish Blind Association, uses the rear camera of Huawei’s Mate 20 Pro phone to read the emotion on the face of whoever the blind user is talking to, by analysing their expression using artificial intelligence (AI).
An offline machine-learning algorithm integrated into the phone identifies the main facial features of the interlocutor, including eyebrows, eyes, nose and mouth. It can then determine the positions about each other and identify the particular emotion.

Huawei facing emotions

The app translates these seven universal human emotions – anger, fear, disgust, happiness, sadness, surprise and contempt – into seven distinct sounds. The detected emotion is played through the phone’s microphone.
Blind composer Tomasz Bilecki created the sounds corresponding to each emotion. “The sounds I wanted to create needed to be specific for each emotion, and not distract users from their conversations,” said Bilecki.

The team aimed to make each sound short, concise and simple, in the hope that they won’t feel invasive in a conversation between two people, as well as being recognisable and easy to recall. Blind users tested the app, and their insights were incorporated into the design.
“Sound samples were tested by our team of blind consultants, who rated them as easy to remember and understand,” said Huawei.

“The Facing Emotions campaign embodies Huawei’s mission to bring new technology to everyone, especially those that need it most,” said Huawei consumer business group president Wang Tao.

Credits
Agency Network: Publicis
Production Company: TANK
Advertiser Brand: Huawei

This campaign is about:
Facial Recognition, visually impaired, AI, Huawei Facing Emotions, Technology, Innovation, Camera, Machine Learning, Artificial Intelligence, Blind