arXiv Machine Learning August 4, 2026 By Marius Bock, Juergen Gall, Michael Moeller, Kristof Van Laerhoven

DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition

Read the original on arXiv Machine Learning →

arXiv:2505. 20894v2 Announce Type: replace Abstract: Despite recognized limitations in modeling long-range temporal dependencies, Human Activity Recognition (HAR) has traditionally relied on a sliding window approach to segment labeled datasets.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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