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The participant's facial expressions were analyzed using Human.js, Tensor Flow, and Computer Vision.
These programs are capable of identifying emotions such as happiness, sadness, anger, and fear.
Based on the collection of the person's verbal opinion, indicators suggesting preference or satisfaction were analyzed using Whisper and GPT-4, thereby measuring the degree of preference for each beverage..
Using the Emotiv Insight device, we analyzed what happened in users' brains when they tasted the drinks.
We measured their level of tranquility, tension, excitement, curiosity, and other factors.
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