Skip to content

dimstudio/visual-inspection-tool

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

36 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

visual-inspection-tool

Annotation and visualization tool for Multimodal Data. It uses sessions file collected with the LearningHub. For more information about the LearningHub https://github.com/janschneiderou/LearningHub

Version :1.6 // Credits: Daniele Di Mitri - Open University of The Netherlands Copyright information: (CC BY-SA 4.0) https://creativecommons.org/licenses/by-sa/4.0/

1. Installing the VIT

  1. Clone the repository git clone https://github.com/dimstudio/visual-inspection-tool.git
  2. Open index.html with a browser (Google Chrome suggested)
  3. Load a LearningHub session (.zip file). Look in the folder /examples for a sample session. If the session contains a valid video and sensor files they will be loaded.
  4. Select 1 or multiple attributes from the Attribute List to plot them in the chart

2. Setting custom time-intervals

  1. When the chart is populated you can zoom in a custom time-interval by resizing the legend below the chart.
  2. You will see the that in the panel Time intervals the [start, end] of the interval you selected.
  3. You can add this interval to the list.
  4. Click again in the plot legend to zoom out.

3. Setting custom annotations

  1. You can add an annotation by name in the panel "Edit annotation"
  2. The annotations are Key-value pairs and are assigned to the time intervals.
  3. Once completed with assigning annotations you can "export" the annotations.

4. Contact and support

In case of questions you can email daniele@dimstudio.org

5. Screenshot

alt text

6. Cite this

Di Mitri D., Schneider J., Specht M., Drachsler H. (2019) Read Between the Lines: An Annotation Tool for Multimodal Data for Learning. In Proceedings of the 9th International Conference on Learning Analytics & Knowledge - LAK19 (pp. 51–60). New York, NY, USA: ACM. DOI: 10.1145/3303772.3303776

http://doi.org/10.1145/3303772.3303776

About

Annotation and visualization tool for Multimodal Data

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published