A study is the first-of-its-kind to recognize American Sign Language (ASL) alphabet gestures using computer vision. Researchers developed a custom dataset of 29,820 static images of ASL hand gestures. Each image was annotated with 21 key landmarks on the hand, providing detailed spatial information about its structure and position. Combining MediaPipe and YOLOv8, a deep learning method they trained, with fine-tuning hyperparameters for the best accuracy, represents a groundbreaking and innovative approach that hasn’t been explored in previous research.
Tag: Accuracy
Can high performers take charge? The effects of role breadth self-efficacy and hostile interpersonal environment
Abstract This study develops a research model of how and when high performers bring about constructive changes at work. Drawing from the social cognitive theory of self-regulation, we examined the mediating effect of role breadth self-efficacy (RBSE) on the relationship…
How Good Is That AI-Penned Radiology Report?
New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them.
Making the most of crowdsourcing campaigns
In a new study, an international team of researchers explored how crowdsourcing projects can make the most effective use of volunteer contributions.
VERA nuclear reactor simulation software licensed commercially for first time
A software package, 10 years in the making, that can predict the behavior of nuclear reactors’ cores with stunning accuracy has been licensed commercially for the first time.