Camera Canvas: Image Editing Software for People with Disabilities

Christopher Kwan and Margrit Betke(link is external)

{ ckwan, betke } @ cs.bu.edu

Image and Video Computing Group(link is external), Computer Science Department(link is external), Boston University(link is external)

Camera Canvas is image editing software developed for people with severe motor impairments who cannot use their hands to operate a mouse or keyboard. It is designed for use with the Camera Mouse(link is external), software that allows you to control the mouse pointer by moving your head in front of a web camera. Using Camera Canvas and Camera Mouse(link is external), you can edit images and draw pictures just by moving your head!

Both programs are completely free. We are constantly working on making them better by incorporating feedback from our users. Please try our latest versions and let us know what you think!

Original website: http://cs-people.bu.edu/ckwan/cameracanvas(link is external)

Original code (now archived): https://code.google.com/archive/p/cameracanvas(link is external)

Contributing

Contribute to Camera Canvas by creating a fork of the repository, making changes there, and then submitting pull requests. For more information, see:

• GitHub Tutorial(link is external)
• How to Fork a Repo(link is external)

Downloads

• Camera Canvas (image editing software) [Windows](link is external) [Last Updated: 03/22/2011]
• Camera Mouse (mouse control software) [Windows](link is external)

Videos

• User Interface and Configuration Demo(link is external)
• Photo-editing Demo(link is external)
• Drawing Demo(link is external)

Papers

• C. Kwan and M. Betke. "Camera Canvas: Image editing software for people with disabilities." In Proceedings of the 14th International Conference on Human-Computer Interaction (HCI International 2011), Orlando, Florida, July 2011. In press. [pdf(link is external)]
• W.-B. Kim, C. Kwan, I. Fedyuk, and M. Betke. "Camera Canvas: Image Editor for People with Severe Disabilities." Department of Computer Science Technical Report BUCS-2008-010, Boston University. June 2008. [pdf(link is external)]

Acknowledgements

This research is based upon work supported by the National Science Foundation (NSF) under Grants 0910908, 0855065, 0713229, 0093367. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.