XPANCEO, a deep-tech company developing smart contact lens, has unveiled a passive eye-tracking system that achieves industry-level measurement precision using standard cameras. The system employs ...
MACHINE-LEARNING models can distinguish children with autism spectrum disorder (ASD) from their typically developing (TD) peers using eye-tracking technology with 85% accuracy, a 2026 systematic ...
Abstract: This paper presents a low-cost, AI/ML-driven desktop examination system that enables students with motor disabilities to take MCQ tests using only eye gaze and natural head movements. The ...
The Maverick AI and AI Pro smart glasses bring native eye-tracking capabilities and advanced AI features to wearable technology. Weighing just 47 grams and priced under $400, these glasses include a ...
Expertise isn't easy to pass down. Take riding a bike: A seasoned cyclist might talk a beginner through the basics of how to sit and when to push off. But other skills, like how hard to pedal to keep ...
Abstract: Assessing worker skill is essential for optimizing high-complexity, low-output production tasks that are consequently difficult to automate for increased efficiency over human work.
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions via a process called cell fate determination. The fate of individual cells, ...
System schematic for automatic detection of sister chromatid exchanges. Machine learning techniques have been used to develop a set of algorithms that can identify and count SCEs in microscopy images.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results