Segmentation and Classification of Accelerometer Data

Segmentation and classification procedures for data from the 'Activinsights GENEActiv' < https://activinsights.com/technology/geneactiv/> accelerometer that provides the user with a model to guess behaviour from test data where behaviour is missing. Includes a step counting algorithm, a function to create segmented data with custom features and a function to use recursive partitioning provided in the function rpart() of the 'rpart' package to create classification models.


GENEAclassify

Latest version of GENEAclassify

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("GENEAclassify")

1.5.5 by Jia Ying Chua, 3 years ago


Browse source code at https://github.com/cran/GENEAclassify


Authors: Chris Campbell [aut] , Aimee Gott [aut] , Joss Langford [aut] , Charles Sweetland [aut] , Penny Sweetland [aut] , Jia Ying Chua [aut, cre] , Activinsights Ltd [cph]


Documentation:   PDF Manual  


GPL license


Depends on methods, utils, grDevices, MASS, GENEAread, changepoint, signal, rpart

Suggests waveslim, knitr, rmarkdown


Suggested by GENEAcore.


See at CRAN