Using a depth camera as a touch sensor
By Andrew D. Wilson. International Conference on Intelligent Tutoring Systems, 2010
318 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/7638e2e1e3df538e8d6267d45e2abeec3abad0a9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Hrvoje Benko
- Chris Harrison
- Andrew D. Wilson
- Peter Presti
- Thad Starner
- Zahoor Zafrulla
- Helene Brashear
- Harley Hamilton
In Computer Vision and Pattern Recognition
- Hrvoje Benko
- Chris Harrison
- Andrew D. Wilson
- Peter Presti
- Thad Starner
- Zahoor Zafrulla
- Helene Brashear
- Harley Hamilton
In Human-Computer Interaction
- Hrvoje Benko
- Chris Harrison
- Andrew D. Wilson
- Peter Presti
- Thad Starner
- Zahoor Zafrulla
- Helene Brashear
- Harley Hamilton
Citations in the corpus
- OmniTouch: wearable multitouch interaction everywhere (2011, methodology): “Providing touch-based interactivity on arbitrary projected objects is challenging, and generally requires a fixed non-tracking projection [8,17], careful calibration of objects in the environment [20,32,34], or objects to be instrumented with sensing elements [10,14,22].”
- American sign language recognition with the kinect (2011, methodology): “The distortion of the IR pattern is used to calculate depth maps, which have a per-pixel depth resolution of 1cm when the camera is 2 meters away [31].”