Preprocessed PAMAP2 dataset for continual learning in Human Activity Recognition (HAR)
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Preprocessed PAMAP2 dataset for continual learning in Human Activity Recognition (HAR). novelty_data: raw multivariate sensor time-series data segmented into non-overlapping 10-second windows. catch22_flat_subs: the same segmented observations represented as tabular feature vectors extracted with the Catch22 feature-extraction toolkit. References Reiss, A., & Stricker, D. (2012). Introducing a New Benchmarked Dataset for Activity Monitoring. 2012 16th International Symposium on Wearable Computers, 108-109.
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Zenodo创建时间：
2026-08-16
