Data

Auslan@Home videos

The University of Queensland
Dr Jessica Korte (Aggregated by) Dr Jessica Korte (Aggregated by) Ms Adele Greedy-Vogel (Aggregated by) Ms Julie Lyons (Aggregated by) Mx Bobbie Blackson (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/3dcdf95&rft.title=Auslan@Home videos&rft.identifier=RDM ID: b6dbc619-ffed-4e73-99ae-074b410691ab&rft.publisher=The University of Queensland&rft.description=This dataset contains RGB (mp4) and RGB-D (svo) videos of Auslan data collection conducted as part of the Auslan Communication Technologies Pipeline project. All participants are fluent Auslan signers. 8 are Deaf, one is a Child of Deaf Adults (CODA). Participants selected their own code names. The vocabulary was collected with a focus on signs required for smart home commands. All data was elicited in an Auslan-first environment, with image-based, Auslan, and isolated English word prompts. Most of the participants have requested that their data only be used by the lead reasearcher. A subset of data is available to be shared more widely; please contact Jessica Korte to discuss access.&rft.creator=Dr Jessica Korte&rft.creator=Dr Jessica Korte&rft.creator=Ms Adele Greedy-Vogel&rft.creator=Ms Julie Lyons&rft.creator=Mx Bobbie Blackson&rft.date=2024&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Natural language processing&rft_subject=Artificial intelligence&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=Deep learning&rft_subject=Machine learning&rft_subject=Language studies not elsewhere classified&rft_subject=Language studies&rft_subject=LANGUAGE, COMMUNICATION AND CULTURE&rft.type=dataset&rft.language=English Access the data
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School of Electrical Engineering and Computer Science

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This dataset contains RGB (mp4) and RGB-D (svo) videos of Auslan data collection conducted as part of the Auslan Communication Technologies Pipeline project. All participants are fluent Auslan signers. 8 are Deaf, one is a Child of Deaf Adults (CODA). Participants selected their own code names. The vocabulary was collected with a focus on signs required for smart home commands. All data was elicited in an Auslan-first environment, with image-based, Auslan, and isolated English word prompts. Most of the participants have requested that their data only be used by the lead reasearcher. A subset of data is available to be shared more widely; please contact Jessica Korte to discuss access.

Issued: 09 05 2024

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Subjects
Artificial Intelligence | Deep Learning | Information and Computing Sciences | Language, Communication and Culture | Language Studies | Language Studies Not Elsewhere Classified | Machine Learning | Natural Language Processing | eng |

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local : UQ:289097

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