Published November 24, 2021
| Version 1.0.0
Dataset
Open
UCA-EHAR
- 1. Université Côte d'Azur, CNRS, LEAT
- 2. Ellcie Healthy
Description
UCA-EHAR is a dataset for human activity recognition using smart glasses. The data is collected from a gyroscope, an accelerometer and a barometer embedded onto smart glasses with 20 subjects performing 8 different activities.
Notes
Ethics Committee Approval n°2022-033, 8 April 2022, CER Université Côte d'Azur
Files
UCA-EHAR-1.0.0.zip
Files
(11.1 MB)
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md5:569afc6d4d8d52784d9dc368685c5d70
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Additional details
Related works
- Is published in
- Journal article: 10.3390/app12083849 (DOI)
References
- UCA-EHAR: A Dataset for Human Activity Recognition with Embedded AI on Smart Glasses, Pierre-Emmanuel Novac, Alain Pegatoquet, Benoît Miramond and Christophe Caquineau, Applied Sciences 2022