Related Experiment Video
Updated: May 5, 2026

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
Published on: March 11, 2021
LSWH100: A handshape dataset for Brazilian sign language (Libras) using SignWriting
Vicente Coelho Lobo-Neto1, Helio Pedrini1
1Institute of Computing, University of Campinas, Av. Albert Einstein 1251, Campinas, SP 13083-852, Brazil.
Abstract:
This paper presents Libras SignWriting Handshape (LSWH100), a new handshape dataset focused on Sign Language Recognition. The dataset includes 144,000 synthetic images of a realistic human hand, covering 100 distinct handshape classes used in Brazilian Sign Language (Libras). Handshapes are named using the convention from SignWriting, a writing system for sign languages. The dataset contains annotations for classification, detection, segmentation, depth estimation, and 3D hand keypoints. Images include indoor and outdoor scenes during different times of day, centered on a single hand that can change size, 3D rotation, and skin tone. We generated these images using Blender, a free and open-source 3D creation software. This is a challenging dataset that can be further explored. With a focus on sign language, this dataset has the potential to advance sign language recognition systems, positively impacting those who rely on sign language for communication.
Related Concept Videos
Introduction to the Sign Test
Sign Test for Matched Pairs
To conduct the sign test, we first calculate the differences in...
Sign Test for Nominal Data
For example, consider a...
Sign Test for Median of Single Population
Sign Convention
The normal force acts perpendicular to the beam's cross-section and can...
Larynx
Anatomy of the Larynx
The larynx consists of various components, including cartilage, muscles, and vocal cords. Its structure includes three large unpaired cartilages—the thyroid, cricoid, and epiglottis—and three smaller paired cartilages—the arytenoids,...

