TNDA-HAR

TNDA-HAR

This dataset is proposed for human activity recognition tasks. The static activities including sitting, standing, and laying, as well as walking, running, cycling, and walking upstairs/downstairs. Each activity lasts for 2 minutes, 23 subjects were involved in the experiments.

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Bibliographische Detailangaben
Hauptverfasser: Yan, Yan, Chen, Dali, Liu, Yushi, Wang, Bo, Wu, Xuankun, Jiao, Xiaohao, Li, Huihui, Wang, Lei
Format: Dataset
Sprache:eng
Schlagworte:
Artificial Intelligence
Human Activity Recognition (HAR)
Nonlinear signal processing
Wearable Sensing
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Beschreibung
Zusammenfassung:This dataset is proposed for human activity recognition tasks. The static activities including sitting, standing, and laying, as well as walking, running, cycling, and walking upstairs/downstairs. Each activity lasts for 2 minutes, 23 subjects were involved in the experiments.
DOI:10.21227/4epb-pg26