Inferring Low-level Mental States of Mobile Users from Plethysmogram Features by Regression Models based on Kernel Method.
Toshiki IsoPublished in: BIOSIGNALS (2020)
Keyphrases
- regression model
- low level
- mobile users
- mental states
- kernel methods
- feature space
- context aware
- regression analysis
- feature extraction
- mobile phone
- linear model
- gaussian process
- mobile applications
- regression methods
- feature set
- feature vectors
- data mining
- kernel function
- model selection
- target variable
- user interaction
- information sources
- databases
- least squares
- support vector machine
- mobile devices
- artificial neural networks
- feature selection
- neural network