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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
{"references": ["UCA-EHAR: A Dataset for Human Activity Recognition with Embedded AI on Smart Glasses, Pierre-Emmanuel Novac, Alain Pegatoquet, Beno\u00eet Miramond and Christophe Caquineau, Applied Sciences 2022"]}
Ethics Committee Approval n°2022-033, 8 April 2022, CER Université Côte d'Azur
human activity recognition, accelerometer, gyroscope, barometer, smart glasses
human activity recognition, accelerometer, gyroscope, barometer, smart glasses
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