November 25, 2019
It could make eye tracking a lot more widespread
Boston: Scientists, including one of Indian origin, are developing new mobile
software that can accurately identify where a person is looking in real time, an
advance that may lead smartphones, tablets and other mobile devices to be
controlled by eye movements.
It could make eye tracking a lot more widespread and
also be helpful as a way to let you play games or navigate your smartphone
without having to tap or swipe.In an effort to make eye tracking instant heating tap
Manufacturers cheap, compact and accurate enough to be included in
smartphones, researchers are crowdsourcing the collection of gaze information
and sing it to teach mobile software how to figure out where a person is looking
in.7 centimetres on a tablet.
The andset's camera captures your face, and the
software considers factors like the position and direction of your head and eyes
to figure out where your gaze is focused on the screen.."About 1,500 people have
used the GazeCapture app so far," Khosla said, adding that if the researchers
can get data from 10,000 people they will be able to reduce the software's error
rate to half a centimetre, which should be good enough for a range of
eye-tracking applications.
Scientists are developing new software which lets
people control their smartphones with eyes. GazeCapture information was then
used to train software called iTracker.The researchers started out by building
an app called GazeCapture that gathered data about how people look at their
phones in different environments outside the confines of a lab, 'MIT Technology
Review' Users' gaze was recorded with the phone's front camera as they were
shown pulsating dots on a smartphone screen. However, he believes the system's
accuracy will improve with more data.
It could make eye tracking a lot more
widespread and also be helpful as a way to let you play games or navigate your
smartphone.To make sure they were paying attention, they were then shown a dot
with an "L" or "R" inside it, and they had to tap the left or ride side of the
screen in response.The researchers at Max Planck Institute for Informatics in
Germany, Massachusetts Institute of Technology (MIT) and University of Georgia
in the US, have so far been able to train software to identify where a person is
looking with an accuracy of about a centimetre on a mobile phone and 1.
It could
make eye tracking a lot more widespread and also be helpful as a way to let you
play games or navigate your smartphone.The technology has been expensive and has
required hardware that has made it tricky to add the capability to gadgets like
phones and tablets."It's still not exact enough to use for consumer
applications," said Aditya Khosla, a graduate student at MIT
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November 18, 2019
Knowing some people reuse passwords across different services
Even so, some privacy experts suggested that users change their Facebook
passwords. When we see a suspicious login attempt, we’ll ask an additional
verification question to prove that the person is the real account owner.To be
clear, these passwords were never visible to anyone outside of Facebook and we
have found no evidence to date that anyone internally abused or improperly
accessed them.’ With inputs from AP.
By storing passwords in readable plain
text, Facebook violated fundamental computer-security practices. On their blog,
Facebook wrote:‘As part of a routine security review in January, we found that
some user passwords were being stored in a readable format within our internal
data storage systems. We check if stolen email and password combinations match
the same credentials being used on Facebook.How We Protect People’s PasswordsIn
line with security best practices, Facebook masks people’s passwords when they
create an account so that no one at the company can see them.
Consider wholesale Electric Instant Water Heater Faucet
enabling a security key or two-factor authentication to protect your Facebook
account using codes from a third party authentication app. Those call for
organizations and websites to save passwords in a scrambled form that makes it
almost impossible to recover the original text.Facebook said there is no
evidence its employees abused access to this data.Facebook responds with a
promise to ensure a stronger password privacy and security.People can also sign
up to receive alerts about unrecognized logins. Password manager apps can
help.By storing passwords in readable plain text, Facebook violated fundamental
computer-security practices. Facebook said there is no evidence its employees
abused access to this data.
This measure is particularly critical for high-risk
users including journalists, activists, political campaigns and public
figures.Securing Your AccountWhile no passwords were exposed externally and we
didn’t find any evidence of abuse to date, here are some steps you can take to
keep your account secure:You can change your password in your settings on
Facebook and Instagram.In the course of our review, we have been looking at the
ways we store certain other categories of information — like access tokens — and
have fixed problems as we’ve discovered them. Even so, some privacy experts
suggested that users change their Facebook passwords.
Knowing some people reuse
passwords across different services, we keep a close eye on data breach
announcements from other organizations and publicly posted databases of stolen
credentials. If we find a match, we’ll notify you next time you login and guide
you through changing your password. Facebook left hundreds of millions of user
passwords readable by its employees for years, the company acknowledged Thursday
after a security researcher exposed the lapse.
In security terms, we "hash†and
"salt†the passwords, including using a function called "scrypt†as well as a
cryptographic key that lets us irreversibly replace your actual password with a
random set of characters.To minimize the reliance on passwords, we introduced
the ability to register a physical security key to your account, so the next
time you log in you’ll simply tap a small hardware device that goes in the USB
drive of your computer. The company said the passwords were stored on internal
company servers, where no outsiders could access them. For example, even if a
password is entered correctly, we will treat it differently if we detect that it
is being entered from an unrecognized device or from an unusual location.
With
this technique, we can validate that a person is logging in with the correct
password without actually having to store the password in plain text. But
thousands of employees could have searched them."There is no valid reason why
anyone in an organization, especially the size of Facebook, needs to have access
to users' passwords in plain text," said cybersecurity expert Andrei Barysevich
of Recorded Future. We estimate that we will notify hundreds of millions of
Facebook Lite users, tens of millions of other Facebook users, and tens of
thousands of Instagram users.
There is nothing more important to us than
protecting people’s information, and we will continue making improvements as
part of our ongoing security efforts at Facebook. When you log in with your
password, we will ask for a security code or to tap your security key to verify
that it is you. We have fixed these issues and as a precaution we will be
notifying everyone whose passwords we have found were stored in this way. Avoid
reusing passwords across different services.Because we know that people may
share, reuse or have their passwords stolen, we’ve built security measures to
help protect people’s accounts:We use a variety of signals to detect suspicious
activity.
The company said the passwords were stored on internal company
servers, where no outsiders could access them. But thousands of employees could
have searched them.Pick strong and complex passwords for all your accounts. This
caught our attention because our login systems are designed to mask passwords
using techniques that make them unreadable. Facebook Lite is a version of
Facebook predominantly used by people in regions with lower connectivity
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November 12, 2019
In addition to making existing applications
Eye-tracking technology - which can determine where in a visual scene people are
directing their gaze - has been widely used in psychological experiments and
marketing research, but the required pricey hardware has kept it from finding
consumer applications.Correctly executing the tap ensures that the user has
actually shifted his or her gaze to the intended location.
The researchers report
an initial round of experiments, using training data drawn from 800
mobile-device users.Those experiments suggest that about 10,000 training
examples should be enough to lower the margin of error to a half-centimetre,
which Khosla estimates will be good enough to make the system commercially
viable..To collect their training examples, the researchers developed a simple
application for smartphone devices.Scientists, including one of Indian-origin,
have developed a new artificial intelligence software that can turn any
smartphone into an eye-tracking device.Researchers built their eye tracker using
machine learning, a technique in which computers learn to perform tasks by
looking for patterns in large sets of training electric faucet Suppliers examples.
To get a
sense of how larger training sets might improve performance, the researchers
trained and retrained their system using different-sized subsets of their
data.Researchers may enable new computer interfaces or help detect signs of
incipient neurological disease or mental illness. We thought we should break
this circle and try to make an eye tracker that works on a single mobile device,
using just your front-facing camera," he said.The application flashes a small
dot somewhere on the device's screen, attracting the user's attention, then
briefly replaces it with either an "R" or an "L," instructing the user to tap
either the right or left side of the screen. Previously, the largest data sets
used to train experimental eye-tracking systems had topped out at about 50
users.
In addition to making existing applications of eye-tracking technology
more accessible, the system developed by researchers at Massachusetts Institute
of Technology (MIT) and University of Georgia may enable new computer interfaces
or help detect signs of incipient neurological disease or mental illness.During
this process, the device camera continuously captures images of the user's face.
Researchers may enable new computer interfaces or help detect signs of incipient
neurological disease or mental illness.They later acquired data on another 700
people, and the additional training data has reduced the margin of error to
about a centimetre. To collect their training examples, the researchers
developed a simple application for smartphone devices.On that basis, they were
able to get the system's margin of error down to 1.
Their training set includes
examples of gaze patterns from 1,500 mobile-device users, Khosla said.5
centimetres, a twofold improvement over previous experimental systems.The data
set contains, on average, 1,600 images for each user."Since there are no
applications, there's no incentive for people to buy the devices."Since few
people have the external devices, there is no big incentive to develop
applications for them," said Aditya Khosla, an MIT graduate student
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