Segmentation and Classification of Accelerometer Data

Segmentation and classification procedures for data from the 'Activinsights GENEActiv' < https://www.activinsights.com/products/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.


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install.packages("GENEAclassify")

1.4.9 by Charles Sweetland, 8 days ago


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


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


Documentation:   PDF Manual  


GPL license


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

Suggests waveslim, knitr, rmarkdown


See at CRAN