Amazon says its facial software can recognize fear | TribLIVE.com
U.S./World

Amazon says its facial software can recognize fear

Chris Pastrick
1539097_web1_ptr-screamer-081519
Paramount Pictures

With Halloween just months away, Amazon’s timing seems perfect.

The tech company announced in a blog post this week that it’s facial recognition software — Rekognition — now has the ability to recognize fear.

Amazon Rekognition has “improved accuracy for emotion detection (for all 7 emotions: ‘Happy’, ‘Sad’, ‘Angry’, ‘Surprised’, ‘Disgusted’, ‘Calm’ and ‘Confused’) and added a new emotion: ‘Fear,’” the post says.

The Amazon Web Services product is used by developers can be used for face detection, analysis, and recognition features for image and video analysis. It generates metadata about detected faces — from gender to age to emotions. Some companies use the software for “pathing,” which tracks an object (like a golf ball) through a video frame.

But not everyone agrees that facial expressions are so predictable.

A recent study by psychologists concluded that “we know much less about emotional expressions and emotion perception than we thought we did. … Those of us who cultivate the science of emotion and the consumers who use this research should seriously question the assumptions of the common view and step back from what we think we know about reading emotions in faces.”

Chris Pastrick is a Tribune-Review digital producer. You can contact Chris at 412-320-7898, [email protected] or via Twitter .

Categories: Business | Top Stories | World
TribLIVE commenting policy

You are solely responsible for your comments and by using TribLive.com you agree to our Terms of Service.

We moderate comments. Our goal is to provide substantive commentary for a general readership. By screening submissions, we provide a space where readers can share intelligent and informed commentary that enhances the quality of our news and information.

While most comments will be posted if they are on-topic and not abusive, moderating decisions are subjective. We will make them as carefully and consistently as we can. Because of the volume of reader comments, we cannot review individual moderation decisions with readers.

We value thoughtful comments representing a range of views that make their point quickly and politely. We make an effort to protect discussions from repeated comments either by the same reader or different readers

We follow the same standards for taste as the daily newspaper. A few things we won't tolerate: personal attacks, obscenity, vulgarity, profanity (including expletives and letters followed by dashes), commercial promotion, impersonations, incoherence, proselytizing and SHOUTING. Don't include URLs to Web sites.

We do not edit comments. They are either approved or deleted. We reserve the right to edit a comment that is quoted or excerpted in an article. In this case, we may fix spelling and punctuation.

We welcome strong opinions and criticism of our work, but we don't want comments to become bogged down with discussions of our policies and we will moderate accordingly.

We appreciate it when readers and people quoted in articles or blog posts point out errors of fact or emphasis and will investigate all assertions. But these suggestions should be sent via e-mail. To avoid distracting other readers, we won't publish comments that suggest a correction. Instead, corrections will be made in a blog post or in an article.