News
Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...
Research students at LSU are working to decrease intersection crashes through implementing an artificial intelligence ...
Rice researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially ...
Drowsiness can be captured by detecting the eye blinks and percentage of eye closure (PERCLOS). For eye blink detection, propose a method which learned the pattern of duration of eyelid closed.
To address this critical issue, this paper explores the efficacy of driver drowsiness detection using deep learning (DL) and machine learning (ML) techniques to develop robust systems that enhance ...
Drowsiness can be captured by detecting the eye blinks and percentage of eye closure (PERCLOS). For eye blink detection, propose a method which learned the pattern of duration of eyelid closed.
Researchers presented their work exploring an AI-based blink rate evaluator that may serve as a dry eye diagnostic tool.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results