Segmentation and Classification of Accelerometer Data R package GENEAclassify version 1.5.5 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. Software Depends: R (>= 2.14.0), methods, utils, grDevices, MASS, GENEAread, changepoint, signal, rpart Suggests: waveslim, knitr, rmarkdown Jia Ying Chua <jiayingc@activinsights.com> Comprehensive R Archive Network (CRAN) Chris Campbell [aut], Aimee Gott [aut], Joss Langford [aut], Charles Sweetland [aut], Penny Sweetland [aut], Jia Ying Chua [aut, cre], Activinsights Ltd [cph] GPL 2024-02-19 application/tgz https://CRAN.R-project.org/package=GENEAclassify doi:10.32614/CRAN.package.GENEAclassify