inspect_binFile_brand

This function identifies the brand of a device (e.g., GENEActiv or MATRIX) based on the contents 
 of a binary file. If the file is unrecognized, it returns a default value indicating the device is not recognized.

A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' <https://theactigraph.com> devices, and binary (.cwa) and .csv-export data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.

Vincent T van Hees

GGIR

Raw Accelerometer Data Analysis

Jairo H Migueles

Severine Sabia

Matthew R Patterson

Zhou Fang

Joe Heywood

Joan Capdevila Pujol

Lena Kushleyeva

Mathilde Chen

Manasa Yerramalla

Patrick Bos

Taren Sanders

Chenxuan Zhao

Ian Meneghel Danilevicz

Victor Barreto Mesquita

Gaia Segantin

Medical Research Council UK 

Accelting 

French National Research Agency 

inspect_binFile_brand function

<dl> <dt>filename</dt>
<dd>The path to the binary file to be inspected.</dd></dl>

Arguments

Jairo H Migueles &lt;jairo@jhmigueles.com&gt;

Author

Identify the Device Brand from a Binary File — inspect_binFile_brand

<dl>

 <dt>filename</dt>
<dd>The path to the binary file to be inspected.</dd>

</dl>

Identify the Device Brand from a Binary File

inspect_binFile_brand: Identify the Device Brand from a Binary File

Description

Usage

Value

Arguments

Author

Details