Sign Language Motion Capture Dataset for Data-driven Synthesis

2020-05-01 · LREC 2020 5 · Pavel Jedli{\v{c}}ka, Zden{\v{e}}k Kr{\v{n}}oul, Jakub Kanis, Milo{\v{s}} {\v{Z}}elezn{\'y}

This paper presents a new 3D motion capture dataset of Czech Sign Language (CSE). Its main purpose is to provide the data for further analysis and data-based automatic synthesis of CSE utterances. The content of the data in the given limited domain of weather forecasts was carefully selected by the CSE linguists to provide the necessary utterances needed to produce any new weather forecast. The dataset was recorded using the state-of-the-art motion capture (MoCap) technology to provide the most precise trajectories of the motion. In general, MoCap is a device capable of accurate recording of motion directly in 3D space. The data contains trajectories of body, arms, hands and face markers recorded at once to provide consistent data without the need for the time alignment.

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