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Emotionally Aware Apps That Respond To Feelings Are On the Horizon

Jul 20

bigwophh writes: Machine learning has helped a multitude of different technologies become a reality, including emotion-detection. Most examples to date have been rather simple, such as being able to detect a smile or a frown. But with today’s super-fast computers, and even mobile devices, we’re now able to detect emotion with far greater accuracy and nuance. Facial recognition expert Rana el Kaliouby recently gave a talk at TED to highlight just how accurate emotion-detection has become, and depending on your perspective, the result is either amazing, or downright scary. To accurately detect someone’s emotion, Rana’s software detects eight different factors, which include frowning, showing disgust, engaged, and raised eyebrows, among other things. Through research with this software, a couple of interesting factoids are revealed. In the United States, women are 40% more likely to smile than men. But the technology is ultimately destined for software that will detect the user’s emotion and react accordingly.


Read more of this story at Slashdot.

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