Libras-34 Dataset (Kinect v1)

Brazilian Sign Language data set with 34 signs for sign language and gesture recognition benchmark: (1) person, (2) to spread, (3) to copy, (4) to catch, (5) to gather, (6) to disappear, (7) to look, (8) fair, (9) truth, (10) weight, (11) justice, (12) who, (13) nothing, (14) to believe, (15) to forget, (16) to love, (17) to afflict, (18) to commemorate, (19) rancor, (20) assembly meeting, (21) to compare, (22) to scream, (23) to speak, (24) to absorb, (25) to fatten, (26) to quarrel, (27) perspicacious, (28) to shine, (29) maid, (30) to replace, (31) prison, (32) television, (33) yesterday and (34) future. Each one of these signs was recorded 5 times by 1 signaller, totaling a database of 170 samples. The signs were captured using an RGB-D sensor (Microsoft Kinect) and processed by nuiCaptureAnalyze software. This dataset is also publicly available at Almeida (2014). Some scientific works related to this dataset are Almeida et al. (2013), Almeida et al. (2014a) and Almeida (2014b)