trainHMM

Path to a directory containing instance-level annotations, i.e., created by the function annotationsToLabels.

labelDir


  List of participant identifiers to use.
  

names

If TRUE, combine the labels standing still and standing moving into a single label standing.

combineStanding


Function to train a HMM classifier from some data and a trained random forest model.


 ~kwd1 

 ~kwd2 

Contains functions for training and applying two-level random forest and hidden Markov models for human behavior classification from raw tri-axial accelerometer and/or GPS data. Includes functions for training a two-level model, applying the model to data, and computing performance.

trainHMM: Train a hidden Markov model

Description

Usage

Arguments

See Also