UMAHand: A dataset of inertial signals of typical hand activities

Author:

Casilari EduardoORCID,Barbosa-Galeano Jennifer,González-Cañete Francisco J.ORCID

Publisher

Elsevier BV

Reference18 articles.

1. A systematic review of human activity recognition based on mobile devices: overview, progress and trends;Yin;IEEE Commun. Surv. Tutor.,2024

2. A review of wrist-worn wearable: sensors, models, and challenges;Al-Eidan;J. Sens.,2018

3. Dataset of acceleration signals recorded while performing activities of daily living;Climent-Pérez;Data Brief,2022

4. R. Kaur and R. Sharma, “Analyzing wearables dataset to predict ADLs and falls: a pilot study,” arXiv:2209.04785v1, 2022, doi: 10.48550/arXiv.2209.0478.

5. On the heterogeneity of existing repositories of movements intended for the evaluation of fall detection systems;Casilari;J. Healthc. Eng.,2020

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