zoo, bitops, matlab, GENEAread, tuneR, unisensR, ineq

person(given = "Tuomo", family = "Nieminen",
role = "cph", email = "tuomo.a.nieminen@gmail.com",
comment = "holds copyright over read.gt3x code"),
person(given = "John",family = "Muschelli",
role = "cph", email = "muschellij2@gmail.com",
"holds copyright over read.gt3x code")),
person(given = "Patrick",family = "Bos",
role = "ctb", email = "egpbos@gmail.com",
zoo, bitops, matlab, GENEAread, tuneR, unisensR, ineq,
Tuomo Nieminen [cph] (holds copyright over read.gt3x code),
John Muschelli [cph] (<https://orcid.org/0000-0001-6469-1750>, holds

person(given = "Taren",family = "Sanders", role = "ctb"),
person("Medical Research Council UK",  role = c("cph", "fnd")),
person("Accelting",  role = c("cph", "fnd")),
person("French National Research Agency",  role = c("cph", "fnd")))
zoo, GENEAread, tuneR, unisensR, ineq, read.gt3x, R.utils,
French National Research Agency [cph, fnd]

Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/> and GENEA devices (not for sale), .csv-export data from  'Actigraph' <https://actigraphcorp.com> devices, and .cwa and .wav-format data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format and has either no header or a two column header. Also the package allows for external function embedding.
Imports: data.table, foreach, doParallel, signal, zoo, GENEAread,
tuneR, unisensR, ineq, read.gt3x, activityCounts, ActCR,

Suggests: testthat, covr, knitr, rmarkdown, actilifecounts

tuneR, unisensR, ineq, read.gt3x, ActCR, methods, GGIRread

Title: Wearable Accelerometer Data File Readers
person("Accelting",  role = c("cph", "fnd")))
Description: Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, binary data from GENEA devices (not for sale), and .cwa-format data from 'Axivity' <https://axivity.com>.
Imports: matlab, bitops, Rcpp (>= 0.12.10)