Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

OUCH! Computer system spots fake expressions of pain better than people

04.04.2014

The system may also be used to detect deceptive actions in the realms of security and job screening

A joint study by researchers at the University of California, San Diego, the University at Buffalo, and the University of Toronto has found that a computer–vision system can distinguish between real or faked expressions of pain more accurately than can humans.


The researchers used the computer expression recognition toolbox (CERT), an end-to-end system for fully automated facial-expression recognition that operates in real time. UB's Mark Frank was one of CERT's developers.

This ability has obvious uses for uncovering pain malingering — fabricating or exaggerating the symptoms of pain for a variety of motives — but the system also could be used to detect deceptive actions in the realms of security, psychopathology, job screening, medicine and law. 

The study, “Automatic Decoding of Deceptive Pain Expressions,” is published in the latest issue of Current Biology.

The authors are Marian Bartlett, PhD, research professor, Institute for Neural Computation, University of California, San Diego; Gwen C. Littlewort, PhD, co-director of the institute’s Machine Perception Laboratory; Mark G. Frank, PhD, professor of communication, University at Buffalo, and Kang Lee, PhD, Dr. Erick Jackman Institute of Child Study, University of Toronto. 

The study employed two experiments with a total of 205 human observers who were asked to assess the veracity of expressions of pain in video clips of individuals, some of whom were being subjected to the cold presser test in which a hand is immersed in ice water to measure pain tolerance, and of others who were faking their painful expressions.

“Human subjects could not discriminate real from faked expressions of pain more frequently than would be expected by chance,” Frank says. “Even after training, they were accurate only 55 percent of the time. The computer system, however, was accurate 85 percent of the time.”

Bartlett noted that the computer system “managed to detect distinctive, dynamic features of facial expressions that people missed. Human observers just aren’t very good at telling real from faked expressions of pain.”

The researchers employed the computer expression recognition toolbox (CERT), an end-to-end system for fully automated facial-expression recognition that operates in real time. It was developed by Bartlett, Littlewort, Frank and others to assess the accuracy of machine versus human vision.

They found that machine vision was able to automatically distinguish deceptive facial signals from genuine facial signals by extracting information from spatiotemporal facial-expression signals that humans either cannot or do not extract.

“In highly social species such as humans,” says Lee, “faces have evolved to convey rich information, including expressions of emotion and pain. And, because of the way our brains are built, people can simulate emotions they’re not actually experiencing so successfully that they fool other people. The computer is much better at spotting the subtle differences between involuntary and voluntary facial movements.”

Frank adds, “Our findings demonstrate that automated systems like CERT may analyze the dynamics of facial behavior at temporal resolutions previously not feasible using manual coding methods.”

Bartlet says this approach illuminates basic questions pertaining to many social situations in which the behavioral fingerprint of neural control systems may be relevant.

“As with causes of pain, these scenarios also generate strong emotions, along with attempts to minimize, mask and fake such emotions, which may involve ‘dual control’ of the face,” Bartlett says.  

“Dual control of the face means that the signal for our spontaneous felt emotion expressions originate in different areas in the brain than our deliberately posed emotion expressions,” Frank explains, “and they proceed through different motor systems that account for subtle appearance, and in the case of this study, dynamic movement factors.”

The computer-vision system, Bartlett says, “can be applied to detect states in which the human face may provide important clues as to health, physiology, emotion or thought, such as drivers’ expressions of sleepiness, students’ expressions of attention and comprehension of lectures, or responses to treatment of affective disorders.”

The single most predictive feature of falsified expressions, the study showed, is how and when the mouth opens and closes. Fakers’ mouths open with less variation and too regularly. The researchers say further investigations will explore whether such over-regularity is a general feature of fake expressions.


Media Contact Information
Patricia Donovan
Senior Editor, Arts, Humanities, Public Health, Social Sciences
Tel: 716-645-4602
pdonovan@buffalo.edu

Patricia Donovan | EurekAlert!
Further information:
http://www.buffalo.edu/news/releases/2014/04/008.html

Further reports about: Buffalo Human Toronto accurate behavior distinguish emotions explains humans movement pain signals subtle

More articles from Information Technology:

nachricht The TU Ilmenau develops tomorrow’s chip technology today
27.04.2017 | Technische Universität Ilmenau

nachricht Five developments for improved data exploitation
19.04.2017 | Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, DFKI

All articles from Information Technology >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: Making lightweight construction suitable for series production

More and more automobile companies are focusing on body parts made of carbon fiber reinforced plastics (CFRP). However, manufacturing and repair costs must be further reduced in order to make CFRP more economical in use. Together with the Volkswagen AG and five other partners in the project HolQueSt 3D, the Laser Zentrum Hannover e.V. (LZH) has developed laser processes for the automatic trimming, drilling and repair of three-dimensional components.

Automated manufacturing processes are the basis for ultimately establishing the series production of CFRP components. In the project HolQueSt 3D, the LZH has...

Im Focus: Wonder material? Novel nanotube structure strengthens thin films for flexible electronics

Reflecting the structure of composites found in nature and the ancient world, researchers at the University of Illinois at Urbana-Champaign have synthesized thin carbon nanotube (CNT) textiles that exhibit both high electrical conductivity and a level of toughness that is about fifty times higher than copper films, currently used in electronics.

"The structural robustness of thin metal films has significant importance for the reliable operation of smart skin and flexible electronics including...

Im Focus: Deep inside Galaxy M87

The nearby, giant radio galaxy M87 hosts a supermassive black hole (BH) and is well-known for its bright jet dominating the spectrum over ten orders of magnitude in frequency. Due to its proximity, jet prominence, and the large black hole mass, M87 is the best laboratory for investigating the formation, acceleration, and collimation of relativistic jets. A research team led by Silke Britzen from the Max Planck Institute for Radio Astronomy in Bonn, Germany, has found strong indication for turbulent processes connecting the accretion disk and the jet of that galaxy providing insights into the longstanding problem of the origin of astrophysical jets.

Supermassive black holes form some of the most enigmatic phenomena in astrophysics. Their enormous energy output is supposed to be generated by the...

Im Focus: A Quantum Low Pass for Photons

Physicists in Garching observe novel quantum effect that limits the number of emitted photons.

The probability to find a certain number of photons inside a laser pulse usually corresponds to a classical distribution of independent events, the so-called...

Im Focus: Microprocessors based on a layer of just three atoms

Microprocessors based on atomically thin materials hold the promise of the evolution of traditional processors as well as new applications in the field of flexible electronics. Now, a TU Wien research team led by Thomas Müller has made a breakthrough in this field as part of an ongoing research project.

Two-dimensional materials, or 2D materials for short, are extremely versatile, although – or often more precisely because – they are made up of just one or a...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

Event News

Fighting drug resistant tuberculosis – InfectoGnostics meets MYCO-NET² partners in Peru

28.04.2017 | Event News

Expert meeting “Health Business Connect” will connect international medical technology companies

20.04.2017 | Event News

Wenn der Computer das Gehirn austrickst

18.04.2017 | Event News

 
Latest News

Wireless power can drive tiny electronic devices in the GI tract

28.04.2017 | Medical Engineering

Ice cave in Transylvania yields window into region's past

28.04.2017 | Earth Sciences

Nose2Brain – Better Therapy for Multiple Sclerosis

28.04.2017 | Life Sciences

VideoLinks
B2B-VideoLinks
More VideoLinks >>>