Webinar Series for Open Source Software & Algorithm developer's in the physical behaviour research field
This group does no longer exist.
We were a group of Open Source Software developers in the physical behaviour research field who meet up once per month. We used this repository to keep a record of past and upcoming meetings and collect ideas for webinar topics.
The webinar series aimed to:
- Provide a platform for research software/algorithm developers to meet each other.
- Support each other in research software development challenges.
- Raise awareness and understanding of each other’s work
- Work towards improved Open Source Software (OSS) re-use, compatibility, and quality in the field.
- Advocate OSS in the physical behaviour research community.
- Be open to any programming expertise level.
- Open to any programming languague/technology (R, Python, Matlab, ...)
- One webinar per month, typically 1 hour, format flexible, e.g. lecture, discussion, tutorial.
| Date |
Agenda |
Slides |
Issue |
|---|---|---|---|
| 14 Jun 2021 | Step detection based on wrist-worn accelerometer data by by Matthew R Patterson | link | |
| 10 May 2021 | Fragmentation : Overview and applications by Vadim Zipunnikov | link | |
| 7 Apr 2021 | Gyroscope and accelerometer data fusion for physical behaviour research by Vincent van Hees | link | #11 |
| 17 Mar 2021 | SummarizedActigraphy by John Muschelli + Jaiwei Bai | link | |
| 17 Feb 2021 | PyActigraphy by Grégory Hammad | link | |
| 2 Dec 2020 | Update round by all and drafting agenda for next year | ||
| 2 Nov 2020 | Non-wear detection with high resolution accelerometer data by Shaheen Syed | link | |
| 30 Sep 2020 | Data quality assessment with count- and step-based PA metrics by Chris Moore | link | |
| 2 Sep 2020 | NHANES accelerometer data analysis by Hyatt Moore + special guest Rick Troiano | link 1 link 2 | #15 |
| 4 Aug 2020 | Sharing experiences on teaching accelerometer data analysis by Rosemary Walmsey | link | #12 |
| 2 Jun 2020 | Data sharing: Why is it still so hard? by John Muschelli | link | #5 |
| 5 May 2020 | RShiny-based GGIRvisualizer & Tidyverse for accelerometer data by Javier Baron Analyzing Transition Data Using the Transition Pairing Method by Paul Hibbing |
link |
|
| 7 Apr 2020 | Time series segmentation by Vincent van Hees | link | #10 |
| 11 Mar 2020 | Precise walking strides segmentation from raw accelerometry data: ADEPT method by Marta Karas Gait Analysis with IMU’s by Matthew R Patterson |
link link |
#7 |
| 12 Feb 2020 | Padaco - An open source software tool for exploring accelerometer data by Hyatt Moore | link | |
| 4 Dec 2019 | Spatial data in Physical Activity research by Tom Stewart | link | #9 |
| 5 Nov 2019 | R package runstats by Marta Karas Highlights from AIW2019 by Jairo Migueles |
link | #4 |
| 7 Oct 2019 | Version Control & GitHub by Paul Hibbing and Tom Stewart | link | #3 |
| 3 Sep 2019 | Generic function for reading range of csv file structures by Vincent van Hees | link | #1 |
- If you do not make your (main) code Open Source, then we would rather not have you in this group.
- Bad software or algorithms do not exist in this group. Feedback should always be constructive, and nobody should feel afraid to present their work.
- Everything discussed in this group is not confidential, unless the presenter explicitly asks for confidentiality.
- We adhere to the Open Source license definitions, where code that comes with an open source license can be used by others as specified by the license.