Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network

Wearable inertial measurement unit (IMU) sensors are powerful enablers for acquisition of motion data. Specifically, in human activity recognition (HAR), IMU sensor data collected from human motion are categorically combined to formulate datasets that can be used for learning human activities. Howev...

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Detalles Bibliográficos
Autores principales: Steven Eyobu, Odongo, Han, Dong Seog
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165524/
https://www.ncbi.nlm.nih.gov/pubmed/30200377
http://dx.doi.org/10.3390/s18092892

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165524/
https://www.ncbi.nlm.nih.gov/pubmed/30200377
http://dx.doi.org/10.3390/s18092892

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