Mobile phone eye tracking

Login or Subscribe Newsletter. Correctly executing the swipe ensures that the user has actually shifted his or her gaze to the intended location.

Can you do eye tracking on mobile devices? – ugazyfoxuluq.ml

Abby Abazorius Email: abbya mit. Media can only be downloaded from the desktop version of this website. 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.

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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. Khosla and his colleagues — co-first author Kyle Krafka of the University of Georgia, MIT professors of electrical engineering and computer science Wojciech Matusik and Antonio Torralba, and three others — 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, mobile-device users.

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

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Calling 50 people in itself is already a fairly tedious process. But we realized we could do this through crowdsourcing. In the paper, the researchers report an initial round of experiments, using training data drawn from mobile-device users.


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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. Those experiments suggest that about 10, training examples should be enough to lower the margin of error to a half-centimeter, which Khosla estimates will be good enough to make the system commercially viable.

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Correctly executing the tap ensures that the user has actually shifted his or her gaze to the intended location. The data set contains, on average, 1, images for each user.


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Training modifies the settings of the individual processors so that a data item — in this case, a still image of a mobile-device user — fed to the bottom layer will be processed by the subsequent layers. Dark knowledge involves taking the outputs of a fully trained network, which are generally approximate solutions, and using those as well as the real solutions to train a much smaller network. With the reduced network, the eye tracker can operate at about 15 frames per second, which is fast enough to record even brief glances.

So something that will work on a device everyone has, that seems very compelling.

Where can I use eye tracking on mobile devices?

We give eye tracking to the people who needs it most. Eyetell is one of the first eye interaction based communication tools for disabled.


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Want to be a tester? Please don't hesitate to sign up! Obital is a tech-company focusing on the rapidly developing eye tracking technology and the commercialisation of it. The technology opens up for new types of interaction and data. Most importantly, it will open up for completely new markets. At Obital, our mission is to take advantage of this technology to create value for the end users while accessing markets previously inaccessible due to the expensive and complicated hardware required.

ZTE's insane, crowdsourced eye-tracking phone is called Hawkeye and is coming in September for $199

Our product develops and uses this new technology while building our interaction platform for eye tracking. In the long term, this platform will allow other developers to do the same. Obital is a team of computer scientists and entrepreneurs, all coming from an academic background. Our expertise is in computer vision and user centered digital design.

Obital was founded in as a university spin-out from the Technical University of Denmark.

We have since received high recognition for our innovations. Our hope is to remove the limits of humanity, increase its freedom and thereby quality of life. We believe this can be achieved with technology created for everyone at an affordable price.

Eye-tracking system uses ordinary cellphone camera

We strive to create an ethical and sustainable business, making useful technology accessible by anyone. Please do not hesitate contacting us using the contact form the the right, or by dropping us an e-mail. Eye Tracking Made Accessible Obital has developed the world's most affordable and accessbile eye-tracking software. Running on any regular smartphone Get in touch.

Eye Tracking High performance monocular eye-tracking and gaze estimation. Interaction Easily add advanced eye control to any application.

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