multimodal dataset
The DARai dataset is a comprehensive multimodal multi-view collection designed to capture daily activities in diverse indoor environments. This dataset incorporates 20 heterogeneous modalities, including environmental sensors, biomechanical measures, and physiological signals, providing a detailed view of human interactions with their surroundings. The recorded activities cover a wide range, such as office work, household chores, personal care, and leisure activities, all set within realistic contexts.
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Please cite:
Han, M., Günay, S.Y., Schirner, G. et al. HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands. Intel Serv Robotics 13, 179–185 (2020). https://doi.org/10.1007/s11370-019-00293-8
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We collect almost 248,166 public microblogs according to selected 97 hashtags of "Top 100" on Instagram. The final collection contains 56861 microblogs which include both text and image, called MultiModal data from Instagram (MM-INS). We filter duplicate hashtags in one sample and drop out those microblogs without texts.
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