HASCD (Human Activity Segmentation Challenge Dataset)
Introduced by Ermshaus et al. in Human Activity Segmentation Challenge @ ECML/PKDD’23
HASCD (Human Activity Segmentation Challenge Dataset) contains 250 annotated multivariate time series capturing 10.7 h of real-world human motion smartphone sensor data from 15 bachelor computer science students. The recordings capture 6 distinct human motion sequences designed to represent pervasive behaviour in realistic indoor and outdoor settings. The data set serves as a benchmark for evaluating machine learning workflows.
Papers
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