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31 results for “LIBRAS”
LSWH100 - Libras SignWriting Handshape
<p>Libras SignWriting Handshape (LSWH100) is 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 Brazillian Sign Language (Libras). Each handshape is represented from four different perspectives: front, back, left and right. However, the perspectives are independent of each other. In other words, the hands represented in one perspective will not be the same as those in other perspectives. 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.</p>
Libras-10 Dataset
<p>Brazilian Sign Language (Libras) data set with 10 signs for sign language and gesture recognition benchmark:</p> <p>- to calm down (acalmar),</p> <p>- to accuse (acusar),</p> <p>- to annihilate (aniquilar),</p> <p>- to love (apaixonado),</p> <p>- to gain weight (engordar),</p> <p>- happiness (felicidade),</p> <p>- slim (magro),</p> <p>- lucky (sortudo),</p> <p>- surprise (surpresa) and</p> <p>- angry (zangado).</p> <p>Each one of the signs was recorded 10 times by 1 signer, totaling a database of 100 samples. The signs were captured using a RGB-D sensor (Microsoft Kinect) and processed by nuiCaptureAnalyze software. For each sign , one has rgb-d images (color_USB-VID_045E&PID_02AE-A00363A20694050A_ and depth_USB-VID_045E&PID_02AE-A00363A20694050A_), skeleton images (skeleton_USB-VID_045E&PID_02AE-A00363A20694050A_), rgb-d images containing only the face (image) and the .mat files( file "matlab" or USB-VID_045E&PID_02AE-A00363A20694050A_) which contains all the information obtained by the software that operates kinect (see http://nuicapture.com/support/how-to-export/#reading-mat-files).</p>
MINDS-Libras Dataset (RGB-D sensor data)
<p>Brazilian Sign Language (Libras) data set with 20 signs for sign language and gesture recognition benchmark:<br> <br> - Acontecer (To happen)<br> - Aluno (Student)<br> - Amarelo (Yellow)<br> - América (America)<br> - Aproveitar (To enjoy)<br> - Bala (Candy)<br> - Banco (Bank)<br> - Banheiro (Bathroom)<br> - Barulho (Noise)<br> - Cinco (Five)<br> - Conhecer (To know)<br> - Espelho (Mirror)<br> - Esquina (Corner)<br> - Filho (Son)<br> - Maçã (Apple)<br> - Medo (Fear)<br> - Ruim (Bad)<br> - Sapo (Frog)<br> - Vacina (Vaccine)<br> - Vontade (Will)<br> <br> Each one of the signs was recorded 5 times by 12 signers, using a Chroma Key background. Among the signers are men and women with basic to advanced knowledge in Libras. </p> <p>The RGB-D sensor (kinect v2) available the RGB videos (1920 x 1080) and depth videos (640 x 480) in "mp4" format, and the body points and face data in "txt" file.</p> <ul> <li>The body file has seven different information (Position X, Y and Z; Orientation X, Y and Z; TrackingState; LeftHandState; RightHandState; ColorPosition X and Y; and DepthPosition X and Y) about the 25 points: (1) Spine Base, (2) Spine Mid, (3) Neck, (4) Head, (5) Shoulder Left, (6) Elbow Left, (7) Wrist Left, (8) Hand Left, (9) Shoulder Right, (10) Elbow Right, (11) Wrist Right, (12) Hand Right, (13) Hip Left, (14) Knee Left, (15) Ankle Left, (16) Foot Left, (17) Hip Right, (18) Knee Right, (19) Ankle Right, (20) Foot Right, (21) Spine Shoulder, (22) Hand Tip Left, (23) Thumb Left, (24) Hand Tip Right and (25) Thumb Right. There are 13 lines (or data) for each frame. This order is repeated sequentially up to 1950 lines (13 lines $\times$ 150 frames), representing the sign video.</li> </ul> <p> </p> <ul> <li>Regarding to the face data, the same organisation was adopted. In this case, we have seven information (FaceBox, FaceRotation, HeadPivot, AnimationUnit, FaceModel X, Y and Z; ColorFaceModel X and Y; and DepthFaceModel X and Y), describing 11 data, distributed in 1650 (11 lines $\times$ 150 frames) lines in the ``.txt'' file.</li> </ul> <p>(Former name: Libras-20)</p>
Cañon Armstrong 40 Libras 1879
Maqueta de cañon Armstrong de 40 libras presente en la guerra del pacífico de 1879. Al momento de su heroica batalla, la "Corbeta Esmeralda" poseía 12 de estos cañones que, para la época, ya eran antiguos y presentaban enormes dificultades para su operación, pues se cargaban por la boca y requerían de un gran número de marineros que mediante palancas. debían apuntar el objetivo. -Calibre: 4" (120 mm.) - Proyectil: Cilindrico Ojival - Peso del Proyectil: 41.5 Libras (18.82 Kg.) - Carga de pólvora: 5 Libras (2.27 Kg.) - Carga de pólvora en la granada: 2 libras (900 gramos). - Ánima: Rayada de 3 estrías. - Longitud del ánima: 7'11" (2.12 m.) - Modo de carga: por la boca. - Longitud exterior: 8´0.5" (2.45 m.) - Peso del cañon: (3696 libras (1676 Kg.) - Material: ánima de acero envuelta en hierro dulce. - Montaje: carro de ruedas con taco posterior Source: Objaverse 1.0 / Sketchfab
MINDS-Libras Dataset
<p>Brazilian Sign Language (Libras) data set with 20 signs for sign language and gesture recognition benchmark:<br> <br> - Acontecer (To happen)<br> - Aluno (Student)<br> - Amarelo (Yellow)<br> - América (America)<br> - Aproveitar (To enjoy)<br> - Bala (Candy)<br> - Banco (Bank)<br> - Banheiro (Bathroom)<br> - Barulho (Noise)<br> - Cinco (Five)<br> - Conhecer (To know)<br> - Espelho (Mirror)<br> - Esquina (Corner)<br> - Filho (Son)<br> - Maçã (Apple)<br> - Medo (Fear)<br> - Ruim (Bad)<br> - Sapo (Frog)<br> - Vacina (Vaccine)<br> - Vontade (Will)<br> <br> Each one of the signs was recorded 5 times by 12 signers, using a Chroma Key background. Among the signers are men and women with basic to advanced knowledge in BSL. Videos are in 1920 x 1080 MP4 files (30 fps).</p> <p>Disclaimer:<br> <br> Signer 3 is missing:<br> - Aluno (Student)<br> - América (America)<br> - Cinco (Five)<br> <br> Signer 4 is missing:<br> - Filho (Son)</p> <p><br> Signer 9 is missing:<br> - Amarelo (Yellow)<br> - Banheiro (Bathroom)<br> - Conhecer (To know)<br> - Esquina (Corner)<br> - Medo (Fear)</p> <p><br> Signer 7 has extra recordings:<br> - Barulho (Noise) - 2 extra<br> - Filho (Son) - 1 extra</p> <p> </p> <p>Former name: Libras-20</p>
FIGURE 4. Limipolycystis libra n in New species of Limipolycystis Schilke, 1970 (Rhabdocoela: Kalyptorhynchia: Polycystididae) from the Western Mediterranean
FIGURE 4. Limipolycystis libra n. sp. (A) Stylet (accessory stylet type II; from a specimen from Corsica). Arrow indicates the opening of the stylet. Limipolycystis friedae n. sp. (B) Male atrial organs (holotype). Limipolycystis wallbergi n. sp. (C) Stylet (accessory stylet type II; holotype). (D) Proximal end of the stylet (holotype). The arrows indicate the proximal part of the stylet. Scale bars = 20 µm.
LIraglutide and Beta-cell RepAir (LIBRA) Study
ClinicalTrials.gov study NCT01270789. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Time Series Charactersitics of Libra and existing Forecasting Competitions
<p>We calculate different time series characteristics for our data set (libra) and the time series competitions M1, M3, M4, NN3, NN5, NNGC1, and Tourism.</p>
Trial to Evaluate the Efficacy and Safety of TP-03, LIBRA Study
ClinicalTrials.gov study NCT05629390. IPD Sharing: Not stated. Countries: 1. Publications: 0.
BrighT STAR LIBRA: Leveraging Implementation Science for Blood Culture Reduction Approaches
ClinicalTrials.gov study NCT06187662. IPD Sharing: NO. Countries: 1. Publications: 0.
Collaborative Testing of Turbulence Models: Compressible Flow Cases from 1980-81 Data Library
This grouping contains the compressible-flow cases from the 1980-81 Data Library.
Collaborative Testing of Turbulence Models: Compressible Flow Cases from 1980-81 Data Library
This grouping contains the compressible-flow cases from the 1980-81 Data Library.
Collaborative Testing of Turbulence Models: Compressible Flow Cases from 1980-81 Data Library
This grouping contains the compressible-flow cases from the 1980-81 Data Library.
Collaborative Testing of Turbulence Models: Compressible Flow Cases from 1980-81 Data Library
This grouping contains the compressible-flow cases from the 1980-81 Data Library.
Collaborative Testing of Turbulence Models: Compressible Flow Cases from 1980-81 Data Library
This grouping contains the compressible-flow cases from the 1980-81 Data Library.
Collaborative Testing of Turbulence Models: Compressible Flow Cases from 1980-81 Data Library
This grouping contains the compressible-flow cases from the 1980-81 Data Library.
Collaborative Testing of Turbulence Models: Compressible Flow Cases from 1980-81 Data Library
This grouping contains the compressible-flow cases from the 1980-81 Data Library.
Collaborative Testing of Turbulence Models: Compressible Flow Cases from 1980-81 Data Library
This grouping contains the compressible-flow cases from the 1980-81 Data Library.
Collaborative Testing of Turbulence Models: Compressible Flow Cases from 1980-81 Data Library
This grouping contains the compressible-flow cases from the 1980-81 Data Library.
Collaborative Testing of Turbulence Models: Compressible Flow Cases from 1980-81 Data Library
This grouping contains the compressible-flow cases from the 1980-81 Data Library.
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International Brain Laboratory public data
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OpenNeuro
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