From 8736b366947e52438884c4f193a6ede4aa7f7bd2 Mon Sep 17 00:00:00 2001 From: Romain Martinez Date: Tue, 2 Jun 2020 16:51:04 -0400 Subject: [PATCH] typo (allow implementing) --- docs/paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/paper/paper.md b/docs/paper/paper.md index 4f70313..14bcfba 100644 --- a/docs/paper/paper.md +++ b/docs/paper/paper.md @@ -77,7 +77,7 @@ The starting point for working with `pyomeca` is to create an object with one of `pyomeca`'s main functionality is to offer dedicated biomechanical routines. These features can be broadly grouped into different categories: filtering, signal processing, normalization, matrix manipulation and file output functions (\autoref{fig:data-processing}). -![`pyomeca` data processing capabilities are available through the `meca` `DataArrayAccessor` (e.g. `array.meca`) that allow to implement domain specific methods on `xarray` data objects. +![`pyomeca` data processing capabilities are available through the `meca` `DataArrayAccessor` (e.g. `array.meca`) that allow implementing domain specific methods on `xarray` data objects. These methods can be categorized into filters (orange), signal processing (red), normalization (blue), matrix manipulation (green) and file output (purple) routines.\label{fig:data-processing}](fig/data-processing.pdf) ## A Biomechanical Example: Electromyographic Pipeline