ActiLife software generates activity counts from data collected by Actigraph accelerometers <https://s3.amazonaws.com/actigraphcorp.com/wp-content/uploads/2017/11/26205758/ActiGraph-White-Paper_What-is-a-Count_.pdf>. Actigraph is one of the most common research-grade accelerometers. There is considerable research validating and developing algorithms for human activity using ActiLife counts. Unfortunately, ActiLife counts are proprietary and difficult to implement if researchers use different accelerometer brands. The code creates ActiLife counts from raw acceleration data for different accelerometer brands and it is developed based on the study done by Brond and others (2017) <doi:10.1249/MSS.0000000000001344>.
Version: 0.2.1 Depends: R (≥ 2.10) Imports: seewave, signal, tibble, lubridate, magrittr Suggests: knitr, rmarkdown, ggplot2, testthat (≥ 3.0.0) Published: 2025-04-07 DOI: 10.32614/CRAN.package.activityCounts Author: Ruben Brondeel [aut], Javad Rahimipour Anaraki [aut], Daniel Fuller [aut, cph, cre], SeyedJavad KhataeiPour [aut], Beap Lab [cph] Maintainer: Daniel Fuller <daniel.fuller at usask.ca> BugReports: https://github.com/walkabillylab/activityCounts/issues License: GPL-3 URL: https://github.com/walkabillylab/activityCounts, https://github.com/jbrond/ActigraphCounts NeedsCompilation: no Materials: README NEWS CRAN checks: activityCounts results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=activityCounts to link to this page.
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