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Combining psychological research on emotions with big data and machine learning, Affectiva representatives say the software has analyzed more than nine million faces from 75 countries to create the most comprehensive emotional A. The company, which was spun out of MIT’s Media Lab, opened up its software to SDK developers in 2014, but it’s now offering a free SDK and API to companies valued under a million dollars to spur creation.
The software can only get better through more data, which makes outsourcing collection crucial to improving the deep learning of the technology.“It’s kind of an infinite project, so we’re all about partners,” says Zijderveld.
“She’s a rock for me and understands me like nobody else,” Mc Creery said.
The company is also working on software that will recognize emotion in voices, opening up its potential in social communication and customer service.
Of course, a future where your emotions are always being monitored raises red flags regarding privacy.
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.
Over the course of a series' many Story Arcs, the two will develop a grudging respect for them as a Worthy Opponent.