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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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Bibliografiske detaljer
Udgivet i:Sensors (Basel)
Main Authors: Steven Eyobu, Odongo, Han, Dong Seog
Format: Artigo
Sprog:Inglês
Udgivet: MDPI 2018
Fag:
Online adgang: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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