Segmentation and Classification of Accelerometer Data

Segmentation and classification procedures for data from the 'Activinsights 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.

Latest development version of GENEAclassify


Reference manual

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1.5.2 by Charles Sweetland, a year ago

Browse source code at

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