Human Posture Detection Using Image Augmentation and Hyperparameter-Optimized Transfer Learning Algorithms

Human Posture Detection Using Image Augmentation and Hyperparameter-Optimized Transfer Learning Algorithms

With the advancement in pose estimation techniques, human posture detection recently received considerable attention in many applications, including ergonomics and healthcare. When using neural network models, overfitting and poor performance are prevalent issues. Recently, convolutional neural netw...

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Bibliographic Details
Main Authors: Roseline Oluwaseun Ogundokun, Rytis Maskeliūnas, Robertas Damaševičius
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
data augmentation
CNN
dropout
transfer learning
human pose detection
hyperparameter optimization
Online Access:https://www.mdpi.com/2076-3417/12/19/10156

Internet

https://www.mdpi.com/2076-3417/12/19/10156

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