In what may be termed as a remarkable breakthrough in sustainable and smart technologies industry, LG Display has apparently teamed up with South Korea based Sogang University to develop a unique technology that aims to reduce motion blur and photon latency in virtual reality headsets.
As per reliable sources, engineers of LG have utilized artificial intelligence to cut down motion sickness and dizziness faced by some virtual reality (VR) headset wearers. Reportedly, motion blur and motion-to-photon-latency are regarded as two of the most primary causes of nausea among VR headset users.
The researchers have reportedly engineered a precision motor that mimics an optical system modeled after the human visual cortex. The motor further simulates neck muscle movements as well which allows it to accurately measure the motion blur and photon latency – a phenomenon that experts in mixed headset reality market have termed as quite unique.
Sources reveal that the conventionally used technique boosts the display resolution, however, puts a strain on the system resources of the headset. The increased strain reportedly enhances the motion blur and latency instead of reducing it.
In order to resolve this drawback, engineers of LG have formulated a highly effective deep learning algorithm that enhances low-resolution pictures to high-resolution in real time, cite sources familiar with the development.
Speaking on the latest announcement, the Professor of the Department of Electronics Engineering at Sogang University, Kang Seok-ju was quoted stating that the study has been highly conclusive given that it developed a technology which functions with low power realized via AI without deploying an expensive GPU in a VR device.
Reportedly, this is not the first time AI is being used in sustainable and smart technologies industry to improve VR experiences. In April this year, Google had announced to have built a machine learning system that adds six degrees of freedom (6DOF) controller-tracking capabilities to any standalone device with a pair of cameras.