Process raw force-plate time series data (txt-files) by segmenting them into trials and, if needed, calculating (user-defined) descriptive statistics of variables for user-defined time bins (relative to trigger onsets) for each trial. When segmenting the data, a baseline correction, a filter, and a data imputation can be applied if needed. Experimental data can also be processed and combined with the segmented force-plate data. This procedure is suggested by Johannsen et al. (2023) and some of the options (e.g., choice of low-pass filter) are also suggested by Winter (2009).
# The easiest and most stable way is to use:
install.packages("forceplate")
# Alternatively, you might install it from GitHub via devtools:
install.packages("devtools")
devtools::install_github("RaphaelHartmann/forceplate")Johannsen, L., Stephan, D. N., Straub, E., Döhring, F., Kiesel, A., Koch, I., & Müller, H. (2023). Assessing the influence of cognitive response conflict on balance control: An event-related approach using response-aligned force-plate time series data. Psychological Research, 87, 2297–2315.
Winter, D. A. (2009). Biomechanics and Motor Control of Human Movement. John Wiley & Sons.
