Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables

Supervised training of human activity recognition (HAR) systems based on body-worn inertial measurement units (IMUs) is often constrained by the typically rather small amounts of labeled sample data. Systems like IMUTube have been introduced that employ cross-modality transfer approaches to convert...

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Detalles Bibliográficos
Autores principales: Kwon, Hyeokhyen, Abowd, Gregory D., Plötz, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707382/
https://www.ncbi.nlm.nih.gov/pubmed/34960431
http://dx.doi.org/10.3390/s21248337

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707382/
https://www.ncbi.nlm.nih.gov/pubmed/34960431
http://dx.doi.org/10.3390/s21248337

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