ergo-tools / actipass

The thigh-worn accelerometer data processing tool to find physical and sedentary behaviour

ActiPASS

About ActiPASS

ActiPASS is a thigh-worn accelerometer data processing software which is developed by: Pasan Hettiarachchi and Peter J. Johansson at Occupational and Environmental Medicine, Department of Medical Sciences, Uppsala University. Lead: [Magnus Svartengren]

ActiPASS is based on: Acti4 thigh accelerometer activity detection algorithm developed by Jørgen Skotte at the National Research Centre for the Working Environment (NFA), Copenhagen, Denmark. Lead: [Andreas Holtermann]

The development of ActiPASS has partly been funded by ProPASS Consortium

ActiPASS may not be used for any commercial purposes without written permission from the developers. Please acknowledge the Developers and NFA as the source of the Software in any publications by referring to relevant publications about Acti4 /ActiPASS.

ActiPASS is made possible by these open source software and developers acknowledge all who contributed in various means.

Report your work

Please report any publications which implement ActiPASS here

ActiPASS graphical user interface

ActiPASS - a user friendly tool to process thigh-worn accelerometer data

Download ActiPASS

Please contact developers via email to receive a compiled executable version of ActiPASS if you agree to the End-User License Agreement.

Links

Citing ActiPASS

Documentation

Acti4

Open source contributions

Acknowledgements

End-User License Agreement (for compiled binary releases)

Source code license

actipass's Issues

Bug in diary quality check

The diary file quality check is not case-sensitive, but when processing the diary it is case-sensitive.

A diary file with column names "date", "time", "event", "comments" passes the quality check. However, when using the diary file, it does not work with the error "Not a valid diary file. Continue without diary data".
The same diary file works for data processing when columns are named "Date", "Time", "Event", "Comments"

Reading in generic csv files

Is it possible to read in generic csv files (timestamp, x, y, z)? I only see options for cwa, wav, datx, bin, and activpal/actigraph csv. Thanks!