adept
package implements ADaptive Empirical Pattern Transformation (ADEPT) ([1]) method for pattern segmentation from a time-series x
. ADEPT was designed for optimal use in performing fast, accurate walking strides segmentation from high-density data collected from a wearable accelerometer worn during continuous walking activity.
You can install the released version of adept from CRAN with:
install.packages("adept")
Vignettes are available to better explain package methods functionality.
Vignette Introduction to adept package intends to introduce a reader to the ADEPT method and demonstrate the usage of the segmentPattern
function which implements ADEPT method. Here, we focus on illustrating segmentPattern
functionality via simulated data examples.
Vignette Walking strides segmentation with adept provides an example of walking stride segmentation from subsecond accelerometry data with adept
package. We demonstrate that ADEPT method can be used to perform automatic and precise walking stride segmentation from data collected during a combination of running, walking and resting exercise. We demonstrate how to segment data
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.