Segments Accelerometry Data into Walking Bouts using Open Source Methods
Overview
Segments walking from accelerometry data using 'forest' python module https://github.com/onnela-lab/forest from Yi (2025) doi:10.2196/71375, 'Verisense' original from Rowlands (2022) doi:10.1080/02640414.2022.2147134 and 'Verisense' revised from Maylor (2022) doi:10.3390/s22249984, and Step Detection Threshold (SDT) from Ducharme (2021) doi:10.1123/jmpb.2021-0011 methods.
Install
Health
- OK13 OKNow
- OK8 OK2026-08-04
Documentation
- Help pages
- 6
- Examples that run
- 50%3 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing walking adds 35 packages (22 with compiled code, 25 MB of source tarballs). Heaviest: stringi 11 MB, signal 1.9 MB, Rcpp 1.8 MB.
Code & Tests
People & History
Package metadata
- First published
- 2026-08-03
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 3) OSI
- Download size
- 23 KB
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