Effects of Data Augmentation on the Nine-Axis IMU-Based Orientation Estimation Accuracy of a Recurrent Neural Network

The nine-axis inertial and measurement unit (IMU)-based three-dimensional (3D) orientation estimation is a fundamental part of inertial motion capture. Recently, owing to the successful utilization of deep learning in various applications, orientation estimation neural networks (NNs) trained on larg...

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Bibliografiset tiedot

Päätekijät:	Ji Seok Choi, Jung Keun Lee
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2023-08-01
Sarja:	Sensors
Aiheet:	data augmentation orientation estimation inertial measurement unit deep learning recurrent neural network
Linkit:	https://www.mdpi.com/1424-8220/23/17/7458
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