EIT publication

A Study on Sensor System Latency in VR Motion Sickness

August 6, 2021 11:49 am
One of the most frequent technical factors affecting Virtual Reality (VR) performance and causing motion sickness is system latency. In this paper, we adopted predictive algorithms (i.e., Dead Reckoning, Kalman Filtering, and Deep Learning algorithms) to reduce the system latency. Cubic, quadratic, and linear functions are used to predict and...Read More
EIT publication

Industry 4.0 Applications for Medical/Healthcare Services

June 30, 2021 12:52 pm
At present, the whole world is transitioning to the fourth industrial revolution, or Industry 4.0, representing the transition to digital, fully automated environments, and cyber-physical systems. Industry 4.0 comprises many different technologies and innovations, which are being implemented in many different sectors. In this review, we focus on the healthcare...Read More
EIT publication

Detecting SARS-CoV-2 From Chest X-Ray Using Artificial Intelligence

February 23, 2021 1:05 pm
Chest radiographs (X-rays) combined with Deep Convolutional Neural Network (CNN) methods have been demonstrated to detect and diagnose the onset of COVID-19, the disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). However, questions remain regarding the accuracy of those methods as they are often challenged by limited...Read More