Friday, March 29, 2024
News

Scientists create improved eye tracking tech for VR systems

   SocialTwist Tell-a-Friend    Print this Page   COMMENT

Moscow | Sunday, 2021 6:45:05 PM IST
Researchers have developed a mathematical model that helps accurately predict the next gaze fixation point and reduces the inaccuracy caused by blinking.

The study, published in the SID Symposium Digest of Technical Papers, indicates that the model would make VR/AR systems more realistic and sensitive to user actions.

"We have effectively solved the issue with the foveated rendering technology that existed in the mass production of VR systems," researcher Viktor Belyaev, Professor at the RUDN University in Russia.

Foveated rendering is a basic technology of VR systems. When a person looks at something, their gaze is focused on the so-called foveated region, and everything else is covered by peripheral vision.

Therefore, a computer has to render the images in the foveated region with the highest degree of detail, while other parts require less computational powers.

This approach helps improve computational performance and eliminates issues caused by the gap between the limited capabilities of graphic processors and increasing display resolution.A

However, foveated rendering technology is limited in speed and accuracy of the next gaze fixation point prediction because the movement of a human eye is a complex and largely random process.

To solve this issue, the researchers developed a mathematical modeling method that helps calculate next gaze fixation points in advance.

The predictions of the model are based on the study of the so-called saccadic movements (fast and rhythmic movements of the eye). They accompany the shifts of our gaze from one object to another and can suggest the next fixation point.

However, these models cannot be used by eye trackers to predict eye movements because they are not accurate enough, the team said.

Therefore, the researchers focused on a mathematical model that helped them obtain saccadic movement parameters. After that, this data was used to calculate the foveated region of an image.

The new method was tested experimentally using a VR helmet and AR glasses. The eye tracker based on the mathematical model was able to detect minor eye movements (3.4 minutes, which is equal to 0.05 degrees), and the inaccuracy amounted to 6.7 minutes (0.11 degrees).

Moreover, the team managed to eliminate the calculation error caused by blinking: a filter included in the model reduced the inaccuracy 10 times.

--IANS vc/sdr/

( 384 Words)

2021-01-24-12:38:02 (IANS)

 
  LATEST COMMENTS (0)
POST YOUR COMMENT
Comments Not Available
 
POST YOUR COMMENT
 
 
TRENDING TOPICS
 
 
CITY NEWS
MORE CITIES
 
 
 
MORE HEALTH NEWS
Study finds how childhood sedentariness ...
Longer genes are associated with ageing...
Dr. Dangs Lab aims to revolutionise heal...
Researchers find ways to reduce side eff...
Study gives insight into role of specifi...
Collaborative study between bariatric, t...
More...
 
INDIA WORLD ASIA
Jailed gangster-turned-politician Mukhta...
Chennai: Three dead after false ceiling ...
Eknath Shinde's Shiv Sena releases first...
'Three parties have allied directly...':...
Uttar Pradesh: Security tightened in Ali...
Telangana: Fire breaks out at dump yard ...
More...    
 
 Top Stories
No change of guard ceremony on Marc... 
"Brutal policy of killing, dumping ... 
Andhra Pradesh: Railway Protection ... 
Earthquake of 4.6 magnitude jolts A... 
Telangana: Fire breaks out at dump ... 
EAM Jaishankar shares glimpse from ... 
"My father was being given slow poi... 
South Africa's former President Jac...