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

4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · updated 10 October 2022

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This file contains the annotations for the ConfLab dataset, including actions (speaking status), pose, and F-formations. ------------------ ./actions/speaking_status: ./processed: the processed speaking status files, aggregated into a single data frame per segment. Skipped rows in the raw data (see https://josedvq.github.io/covfee/docs/output for details) have been imputed using the code at: https://github.com/TUDelft-SPC-Lab/conflab/tree/master/preprocessing/speaking_status The processed annotations consist of: ./speaking: The first row contains person IDs matching the sensor IDs, The rest of the row contains binary speaking status annotations at 60fps for the corresponding 2 min video segment (7200 frames). ./confidence: Same as above. These annotations reflect the continuous-valued rating of confidence of the annotators in their speaking annotation. To load these files with pandas: pd.read_csv(p, index_col=False) ./raw-covfee.zip: the raw outputs from speaking status annotation for each of the eight annotated 2-min video segments. These were were output by the covfee annotation tool (https://github.com/josedvq/covfee) Annotations were done at 60 fps. -------------------- …

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