Real and fake smiles can be tricky to tell apart, but researchers at the University of Bradford have now developed computer software that can spot false facial expressions.
By analysing the movement of the smile across a person’s face, the software can determine whether or not the expression is genuine. The most significant movements detected by the software were around the eyes, supporting popular theories that a spontaneous, genuine smile is one that can be seen in a person’s eyes.
“A smile is perhaps the most common of facial expressions and is a powerful way of signalling positive emotions,” says Hassan Ugail, Professor of Visual Computing at the University of Bradford, who led the research. “Techniques for analysing human facial expressions have advanced dramatically in recent years, but distinguishing between genuine and posed smiles remains a challenge because humans are not good at picking up the relevant cues.”
The software works by first mapping a person’s face from within a video recording, and identifying the mouth, cheeks and eyes of the subject. It then measures how these facial features move through the progress of the smile and calculates the differences in movement between the video clips showing real and fake smiles.
Researchers tested the programme using two different datasets, one containing images of people expressing genuine smiles, and another in which the images portrayed posed smiles.
They found significant differences in the way the subjects’ mouths and cheeks moved when comparing the real and the fake expressions. The movements around the subjects’ eyes, however, showed the most striking variation, with genuine smiles generating at least 10 per cent more movement in these muscles.
“We use two main sets of muscles when we smile – the zygomaticus major, which is responsible for the curling upwards of the mouth, and the orbicularis oculi, which causes crinkling around our eyes,” explains Professor Ugail. “In fake smiles it is often only the mouth muscles which move but, as humans, we often don’t spot the lack of movement around the eyes. The computer software can spot this much more reliably.”
He adds: “An objective way of analysing whether or not a smile is genuine could help us develop improved interactions between computers and humans – for example in biometric identification. It could also be important to social and clinical scientists aiming to gain more insight into human behaviour and emotion.”
The Latest on: Facial expressions
via Google News
The Latest on: Facial expressions
- Big Ed & Rose on 90 Day Fiancé: Best Memes, Gifs & Twitter Reactionson May 10, 2020 at 11:51 am
We've rounded up a few dozen of our favorite Big Ed and Rose memes from the newest season of "90 Day Fiancé: Before the 90 Days." Click here to check them out.
- IPad Generation Children Good at Reading Facial Emotionson May 10, 2020 at 5:58 am
The 2017 students were better at identifying the emotions in a series of videos, but only slightly better, a difference the researchers said is not statistically significant.
- Touchscreen generation no less in reading facial cues: Studyon May 9, 2020 at 5:13 pm
The growing use of mobile technologies among kids, have created speculations about the children getting worse at reading emotions and picking up cues from people's faces. Infancy and early childhood a ...
- Nora Fatehi stuns with her latest TikTok video as she aces her facial expressions like a proon May 9, 2020 at 12:13 am
Nora Fatehi has always managed to entertain her fans with her dancing skills. After her thunderous TikTok debut, Nora never looked back as she churned out many other TikTok videos to treat her fans.
- Study focuses on reading facial cues with the touch-screen generationon May 7, 2020 at 8:57 pm
Infancy and early childhood are critical developmental phases during which children learn to interpret important non-verbal cues such as facial expressions, tone of voice and gestures. Traditionally, ...
- Do I look mad? Reading facial cues with the touch-screen generationon May 7, 2020 at 10:55 am
Are today's children, who grew up with mobile technology from birth, worse at reading emotions and picking up cues from people's faces than children who didn't grow up with tablets and smartphones? A ...
- The innocent have nothing to fear from facial recognition tech, right? Well...on May 7, 2020 at 4:15 am
In the US a year ago, San Francisco banned the use of facial recognition in local surveillance and law enforcement, citing the risk of error and bias. But are these criticisms valid? First, some good ...
- From expressions to mind wandering: Using computers to illuminate human emotionson May 5, 2020 at 7:03 am
A common view of human emotions is that they are too idiosyncratic and subjective to be studied scientifically. But as being presented at the Cognitive Neuroscience Society (CNS) virtual meeting today ...
- Gabrielle Union laughs about her toddler daughter Kaavia's adorable serious expressionson May 4, 2020 at 11:50 pm
Levy For Dailymail.com Gabrielle Union and Dwyane Wade's daughter Kaavia's become an online sensation with her adorable pallet of facial expressions documented by her parents on social media. And on ...
- Debby Ryan Pokes Fun at Viral Memes of Her Facial Expressionson May 2, 2020 at 8:54 pm
Now, the 26-year-old Jessie actress is poking fun at the memes that surfaced. “I was serious about my craft from a young age and studied technique alongside Roxanne from A Goofy Movie ,” Debby tweeted ...
via Bing News