Facial recognition for dating recommendation

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Technology that reveals your feelings has also been suggested to spot struggling students in a classroom environment, or help autistics better interact with others.

Some use cases include: These computer vision APIs use facial detection, eye tracking, and specific facial position cues to determine a subject’s mood.

n twenty years, facial expression monitors in frozen food section will be able gauge your reaction to pizza rolls and maybe, possibly, offer a deal based on your smile (two for one? The same technology could be applied to dating apps like Tinder or suggesting movies on Netflix.

While it sounds a little creepy, emotion recognition technology might just be the key to making our digital world more human.

These algorithm driven APIs use use facial detection and semantic analysis to interpret mood from photos, videos, text, and speech.

This is often a combination of weight assigned to 7 basic emotions, and valence — the subject’s overall sentiment.If businesses could sense emotion using tech at all times, they could capitalize on it to sell to the consumer in the opportune moment. There’s a lot of API-accessible software online that parallels the human ability to discern emotive gestures. Machine emotional intelligence is a burgeoning frontier that could have huge consequences in not only advertising, but in new startups, healthcare, wearables, education, and more.Lastly, sonic algorithms have been produced that analyze recorded speech for both tone and word content. The visual detection market is expanding tremendously.It was recently estimated that the global advanced facial recognition market will grow from .77 Billion in 2015 to .19 Billion in 2020.

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