Technical Literature Review on Automatic Sign Language Processing: Supporting Materials

This dataset contains the supporting materials of a technical literature review on automatic sign language processing conducted within the research project “AI-assisted Educational Platform for Mathematical Learning in Colombian Sign Language.” The deposited materials include the consolidated review workbook and the PRISMA flow diagram documenting the study-selection process. The workbook organizes the included studies through complementary analytical matrices addressing physical and acquisition characteristics, technical and algorithmic pipelines, and linguistic and semantic dimensions. The review examines sign language processing approaches, input representations, datasets, recognition units, machine-learning and deep-learning architectures, evaluation strategies, and reported limitations. Fields for which the primary studies did not provide explicit information are retained as “not reported” rather than inferred. These materials constitute the technical evidence base used, together with a separate pedagogical literature review and initial participatory inputs from deaf Colombian Sign Language (LSC) users and interpreters, to support a conceptual analysis for deriving preliminary design principles and adoption criteria for an AI-assisted educational architecture. The complete literature-review study and its detailed methodological analysis are being reported separately.