It is in that spirit that companies like mine, Realeyes, use technology to gather data and observations from the real world at scale, and apply validated conclusions to real-world use cases. Read more: The AI Gold Rush: How to Make Money off AI and Machine Learning! ![]() We should defer to observation, data, and truth. ![]() ![]() On the other hand, you have academics like Northeastern University Professor Lisa Barrett, who argue that facial expressions can’t be reliable indicators of a person’s inner emotional state.Ĭlarity often is hidden amidst the noise of misunderstanding, misinformation, and conflation. On one hand, you have influential scientists – including Eckman himself – who have proved the premise that facial expressions can be analyzed to detect concrete aspects of a person’s emotional experience. Recently, publications like Nature and the Verge have taken a close look at the merits and misconceptions of facial coding and emotion AI. Such is the case with facial coding and Emotion AI technology. Intrigue and solutions based on the scientific link between emotion and facial expressions has continued ever since Eckman’s early published work. Debate and scrutiny are the foundation of scientific inquiry, and scientific conclusions and inferences are built on observation and data. The basis for using technology to analyze human emotions according to facial cues was inspired by Paul Eckman’s research into facial expressions and emotion in the 1960s and 70s. Intelligence Derived from Facial Coding Yields Concrete Outcomes.
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