10.4121/c.6034313.v4

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ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild Collection

Chirag Raman, Jose Vargas Quiros, Stephanie Tan, Ashraful Islam, Ekin Gedik, Hayley Hung,
ConfLab is a multimodal multisensor dataset of in-the-wild free-standing social conversations. It records a real-life professional networking event at the international conference ACM Multimedia 2019. Involving 48 conference attendees, the dataset captures a diverse mix of status, acquaintance, and networking motivations. Our capture setup improves upon the data fidelity of prior in-the-wild datasets while : 8 overhead-perspective videos (1920 x 1080, 60fps), and custom personal wearable sensors with onboard recording of body motion (full 9-axis IMU), privacy-preserving low-frequency audio (1250Hz), and Bluetooth-based proximity. Additionally, we developed custom solutions for distributed hardware synchronization at acquisition, and time-efficient continuous annotation of body keypoints and actions at high sampling rates.
--------------------- General information: The dataset contains: EULA: (DOI: 10.4121/20016194, required for access): End-User License Agreement needs to be filled out in order to request access because data contains pseudonymized data. Once completed, please return to SPCLabDatasets-insy@tudelft.nl. Private links to download …

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