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Indian-origin Scientist develops Software that turns Smartphones into an Eye-Tracking device

A discovery that can help in psychological experiments and marketing research

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Representational Image- Eye. Image source: galaxys8info.com

New York: Researchers led by an Indian-origin scientist have developed a software that can turn any smartphone into an eye-tracking device, a discovery that can help in psychological experiments and marketing research.

In addition to making existing applications of eye-tracking technology more accessible, the system could enable new computer interfaces or help detect signs of incipient neurological disease or mental illness.

Since few people have the external devices, there’s no big incentive to develop applications for them.

“Since there are no applications, there’s no incentive for people to buy the devices. 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,” explained Aditya Khosla, graduate student in electrical engineering and computer science at Massachusetts Institute of Technology (MIT).

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Khosla and his colleagues from MIT and University of Georgia 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 examples.

Currently, Khosla says, their training set includes examples of gaze patterns from 1,500 mobile-device users.

Previously, the largest data sets used to train experimental eye-tracking systems had topped out at about 50 users.

To assemble data sets, “most other groups tend to call people into the lab,” Khosla says.

“It’s really hard to scale that up. Calling 50 people in itself is already a fairly tedious process. But we realised we could do this through crowdsourcing,” he added.

In the paper, the researchers report an initial round of experiments, using training data drawn from 800 mobile-device users.

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On that basis, they were able to get the system’s margin of error down to 1.5 centimetres, a twofold improvement over previous experimental systems.

The researchers recruited application users through Amazon’s Mechanical Turk crowdsourcing site and paid them a small fee for each successfully executed tap. The data set contains, on average, 1,600 images for each user.

The team from MIT’s Computer Science and Artificial Intelligence Laboratory and the University of Georgia described their new system in a paper set to presented at the “Computer Vision and Pattern Recognition” conference in Las Vegas on June 28. (IANS)

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  • Vrushali Mahajan

    This can help many doctors. If developed more, the eye tracking software should be able to sensor the eye defects also like Myopia, Hypermetropia, etc so that it becomes easier for the doctors and big machines would be avoided.

  • AJ Krish

    Technology has advanced so far to reduce human effort. This new software has wide range of applications and can also help detect signs of incipient neurological disease or mental illness. I believe that this research can revolutionize the medical world.

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  • Vrushali Mahajan

    This can help many doctors. If developed more, the eye tracking software should be able to sensor the eye defects also like Myopia, Hypermetropia, etc so that it becomes easier for the doctors and big machines would be avoided.

  • AJ Krish

    Technology has advanced so far to reduce human effort. This new software has wide range of applications and can also help detect signs of incipient neurological disease or mental illness. I believe that this research can revolutionize the medical world.

Next Story

NASA Plans To Unveil New Mission For Studying The Causes of Solar Particle Storms

"We are so pleased to add a new mission to our fleet of spacecraft that help us better understand the Sun, as well as how our star influences the space environment between planets," said Nicky Fox, Director of NASA's Heliophysics Division

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NASA
NASA has awarded $62.6 million to design, build and launch SunRISE by no earlier than July 1, 2023. Pixabay

NASA is planning to launch a new mission to study how the Sun generates and releases giant space weather storms — known as solar particle storms — into planetary space.

The new mission, called the Sun Radio Interferometer Space Experiment (SunRISE), is an array of six CubeSats operating as one very large radio telescope, the US space agency said on Monday. NASA has awarded $62.6 million to design, build and launch SunRISE by no earlier than July 1, 2023.

Understanding how the Sun generates and releases giant space weather storms can ultimately help protect astronauts travelling to the Moon and Mars by providing better information on how the Sun’s radiation affects the space environment they must travel through.

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“We are so pleased to add a new mission to our fleet of spacecraft that help us better understand the Sun, as well as how our star influences the space environment between planets,” said Nicky Fox, Director of NASA’s Heliophysics Division.

“The more we know about how the Sun erupts with space weather events, the more we can mitigate their effects on spacecraft and astronauts.” The mission design relies on six solar-powered CubeSats — each about the size of a toaster oven — to simultaneously observe radio images of low-frequency emission from solar activity and share them via NASA’s Deep Space Network.

The constellation of CubeSats would fly within six miles (9.6 kms) of each other, above Earth’s atmosphere, which otherwise blocks the radio signals SunRISE will observe.

Solar System
NASA is planning to launch a new mission to study how the Sun generates and releases giant space weather storms — known as solar particle storms — into planetary space. Pixabay

Together, the six CubeSats will create 3D maps to pinpoint where giant particle bursts originate on the Sun and how they evolve as they expand outward into space. This, in turn, will help determine what initiates and accelerates these giant jets of radiation.

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The six individual spacecraft will also work together to map, for the first time, the pattern of magnetic field lines reaching from the Sun out into interplanetary space, NASA said. (IANS)