@inproceedings{7c3a632178cf44bc8468aa0e4b844d2e,
title = "Intention, context and gesture recognition for sterile MRI navigation in the operating room",
abstract = "Human-Computer Interaction (HCI) devices such as the keyboard and the mouse are among the most contaminated regions in an operating room (OR). This paper proposes a sterile, intuitive HCI to navigate MRI images using freehand gestures. The system incorporates contextual cues and intent of the user to strengthen the gesture recognition process. Experimental results showed that while performing an image navigation task, mean intent recognition accuracy was 98.7% and that the false positive rate of gesture recognition dropped from 20.76% to 2.33% with context integration at similar recognition rates.",
keywords = "Gesture recognition, human computer interaction, operating room",
author = "Mithun Jacob and Christopher Cange and Rebecca Packer and Wachs, {Juan P.}",
year = "2012",
month = sep,
day = "5",
doi = "10.1007/978-3-642-33275-3_27",
language = "English",
isbn = "9783642332746",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "220--227",
booktitle = "Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 17th Iberoamerican Congress, CIARP 2012, Proceedings",
note = "17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012 ; Conference date: 03-09-2012 Through 06-09-2012",
}