Gait Activity Classification on Unbalanced Data from Inertial Sensors Using Shallow and Deep Learning.
Irvin Hussein López-NavaLuis M. Valentin-CoronadoMatias Garcia-ConstantinoJesús FavelaPublished in: Sensors (2020)
Keyphrases
- unbalanced data
- deep learning
- unsupervised learning
- machine learning
- inertial sensors
- pattern recognition
- classification accuracy
- support vector machine
- natural language processing
- image classification
- supervised learning
- feature selection
- training samples
- model selection
- feature space
- training data
- information extraction
- decision trees
- image processing