Published November 24, 2021 | Version 1.0.0
Dataset Open

UCA-EHAR

Creators

  • 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.

 

https://bitbucket.org/edge-team-leat/uca-ehar

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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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