Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
Table 1: Popular public corpora of sign language video. These datasets are commonly used for sign language recognition.
['[BOLD] Dataset', '[BOLD] vocabulary', '[BOLD] Signers', '[BOLD] signer-independent', '[BOLD] Videos', '[BOLD] continuous', '[BOLD] real-life']
Existing sign language datasets typically consist of videos of people signing. Video format can vary, and is often dependent on the recording device. For example, video cameras often produce MP4, OGG, or AVI format (among others). These datasets can be pulled from to generate signing avatars, and are often curated for this purpose. Depth cameras can also be used to capture 3D positioning. ’s survey for a more complete list of datasets, many of which are intended for linguistic research and education.) The data collection method impacts both content and signer identity. The geographic region where the data is collected also dictates which sign language is captured. Many datasets have been curated by researchers and startups in the U.S., where \glsasl is the primary language of the Deaf community, and consequently contain \glsasl.