rWISDM: Repaired WISDM, a Public Dataset for Human Activity Recognition

Human Activity Recognition (HAR) has broad applications in various domains such as healthcare, athletic competitions, smart cities, and smart home. While researchers focus on the methodology of processing data, users wonder if the Artificial Intelligence (AI) methods used for HAR can be trusted. Trust depends mainly on the reliability or robustness of the system.

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Cite this as

Mohammadreza Heydarian, Thomas E. Doyle (2024). Dataset: rWISDM: Repaired WISDM, a Public Dataset for Human Activity Recognition. https://doi.org/10.57702/psbj7uv8

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2305.10222
Author Mohammadreza Heydarian
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Thomas E. Doyle