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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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Publicat a:Sensors (Basel)
Autors principals: Steven Eyobu, Odongo, Han, Dong Seog
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2018
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6165524/
https://ncbi.nlm.nih.gov/pubmed/30200377
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18092892
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