MCV-Intention: A Multimodalities and Cross-View Dataset for Human Assembly Intention Recognition

The MCV-Intention dataset—a multimodalities, cross-view dataset is designed for assembly scene understanding. Collected from 15 subjects, each assembly sequence encompasses six modalities and two views, capturing data from operators both before and after training. In this letter, we first outline the dataset collection process, detailing the hardware and software systems as well as the assembly objects involved. Subsequently, we present a comprehensive annotation protocol for assembly intention recognition and describe the development of a flexible annotation software tool to support this process.  The paper related this dataset is published "MCV-Intention: A Multimodalities and Cross-View Dataset for Human Assembly Intention Recognition". If you want to use our dataset, please cite:Ma, D., Zhang, C., Xu, Q. et al. MCV-Intention: A Multimodalities and Cross-View Dataset for Human Assembly Intention Recognition. Sci Data 12, 1784 (2025). https://doi.org/10.1038/s41597-025-06063-9