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MACHINE PERCEPTION TECHNOLOGIES:



In 2009 MPT4U was launched. The founders, Javier R. Movellan, Stanley Kim, Gwen
Littlewort Ford, announced themselves as "a new start up company dedicated to
the development of Machine Perception Technologies for You." Machine Perception
Technologies developed expression recognition applications that numerically
represent human facial expressions. Their headquarters were in San Diego. For
three years their domain was live and then it expired.

When I discovered that the domain was available I bought it with the goal of
rebuilding the site from its archived content. I happen tp work for a
progressive software company as part of a Salesforce development team. We build
custom applications, as well as responsive Salesforce employee-facing mobile
enterprise apps on Force.com for all sorts of businesses and organization. My
team regularly works with such front-end technologies such as JavaScript, HTML5,
CSS3, JQuery, ExtJS, Ajax, as well as software languages: Java, Grails, Groovy,
and PHP. With my interests in the sciences & technology I have had a long
standing facination with capability of a computer system to interpret data in a
similar manner to the way humans use their senses to relate to the world around
them. Thus my interest in what this San Diego company was doing.

Consider this site as a historical documentation of the company known as Machine
Perception Technologies, which is now closed.


PRODUCTS


SMILE ANALYSIS

Anatomy of the Smile. The upper and lower lips frame the display zone of the
smile. Within this framework, the components of... 




FATIGUE DETECTION

Driver fatigue detection is determined by monitoring the driver’s grip force on
the steering wheel, based on the variation... 


FACIAL EXPRESSION ANALYSIS

Facial expression communicates information about emotions, regulates
interpersonal behavior and person perception, indexes physiologic...

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NEWS

We launched SMILE for Android




We just launched our first version of SMILE for Android. It detects smiles,
ranks them and puts them in a world map. You can get it for $0.99 at the Google
Android Store. (Just type Smile for Android on Google).
NOTE: No products are available.

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SOME BACKGROUND ON FACIAL RECOGNITION TECHNOLOGY

HUMAN LIE DETECTOR PAUL EKMAN DECODES THE FACES OF DEPRESSION, TERRORISM, AND
JOY

Just imagine if expert humans or face-reading machines were at the airports
where the 9/11 hijackers had boarded their doomed planes. Perhaps thousands of
lives would have been saved on 9/11 if the emotional states of hijackers had
been correctly deducted.According to says San Francisco-based psychologist Paul
Ekman detainments would have been triggered. Unfortunately there were no expert
humans or face-reading machines being used.

Tim Roth’s character in the Fox TV series Lie To Me was based on Paul Ekman and
his work. Since 9/11, Ekman has worked with the Central Intelligence Agency
(CIA), the Department of Homeland Security (DHS), the Department of Defense
(DOD), among others to help train people, and develop machines that can read
faces for emotions with the goal of preventing disastrous events occurring at
all levels.

Additional facial recognition applications could include assisting
Transportation Security Administration (TSA) agents screen for potential
terrorists at airports, or teaching U.S. Army Special Forces in Afghanistan and
elsewhere how to determine an enemy combatant’s veracity or his/ her intent to
kill. Ekman slap has provided training to a number of guards at Abu Ghraib
prison.  By using his facial analysis work, guards were better able to extract
information without the use of torture.

Paul Ekman was a pioneer in the field of facial emotion measurement and the
neuro-scientific areas, which overlaps with both face-recognition and
neuro-marketing. Along with the Dalai Lama, Ekman has written a book, Emotional
Awareness. Universally credited with developing the Facial Action Coding System
(FACS). FACS is the comprehensive dictionary of facial expression measurements.
It has become the scientific underpinning for human observation and automated
facial analysis internationally as well as across a variety of academic and
commercial fields. For instance, both Microsoft and Apple are building their own
facial recognition capabilities, as has Google. In some school districts his
methodology is being put to work particularly for better understanding those
with cognitive disabilities. And it can enable people to be more in tune with
their emotions.

According to Ekman there are two basic ways to measure facial emotion. You can
use specially trained people to analyze facial micro-expressions and emotions or
use a technological, automated method. He prefers using the human approach when
time is of the essence such as in life and death instances involving and law
enforcement officers, intelligence, or military situations. He believes it is
significantly more accurate than relying on an automated method.  However, one
of the fallacies of using humans is that they can become fatigued. In addition,
their levels of observation or interpretation can vary considerably. However,
using the technology for laborious, frame-by-frame video analysis also has its
place, particularly as a backup system.



Ekman, presently sits on the board of a nascent company, which specializes in
automating facial expressions analysis based on his FACS foundation. The CIA has
been studying the efficacy of the automating micro-expressions analysis
methodology of Machine Perception Technologies (MPT) "Neural Network" versus
other alternative methods. MPT's splits it work between the "security" arena and
marketing for such companies as Procter & Gamble, Intel, and Sony. One of the
main goals of MPT is in advancing "machine learning" and creating smarter, more
natural interaction and interfaces between humans and machines.

Affectiva, another company whose methodology is based on Ekman’s FACS advertises
itself as an emotion measurement technology company. Affectiva's initial focus
has been in health care. They have developed tools, which help people on the
autism spectrum to communicate as well as applications that have developed tools
that help those on the autism spectrum to communicate and applications, via skin
and facial sensors that allow people to self-monitor their anxiety level or
heart rate. Following the money, Affectiva has been busy consulting marketing
and media clients regarding their advertising and consumer engagement. However,
according to their COO, Affectiva will never focus on security and deception.
Instead they want people to be more aware of their emotions and empowered to
better manage and improve their moods, health, work, socializing and life. They
say their focus is on doing good in the world with the broadest applications.

There are critics of this field that encompasses facial expression measurements
via both human and technology. They feel it opens the doors to big brother
intrusions, sinister mind reading, and phony junk science with low accuracy,
and/or high expenses.

Even though there are differences in their methods, services and views, all of
the facial emotion measurement experts their companies agree that new
applications will emerge that cannot even be imagined today, but will forever
change the way we do things in the future.



MPT4U.com