Facial Recognition: Inconsistent and Superficial

New research proves that facial recognition cannot be trusted to accurately measure emotions. While there is an entire industry crafted around this pseudo-science, facial expressions have been found to be ‘almost always wrong.’ These expressions are heavily influenced by culture, background, and context, and no one-size fits all solution can be trusted to accurately analyze them. The methods behind facial recognition also far to recognize the complexity of human emotion, instead placing diverse individuals into inadequate boxes and labels.

These technologies cannot consistently detect emotional states, such as happiness or sadness, and more specifically cannot shed light upon what is triggering these emotions. A person who is happy may not always smile, while a person who is unhappy might still force a smiling expression, depending on their background and the social context. Humans are heavily influenced by those around them, their upbringing, and external factors, and therefore express their emotions in a variety of distinctive ways which this technology is inadequate at distinguishing.

Veriphix, on the other hand, is able to measure underlying emotions, along with the factors that cause these emotions. We do not rely on often inaccurate surface level physical indicators, such as smiles, but rather the underlying emotional triggers motivating your target group.

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