by Julian Hettig, André Mewes, Oleksandr Riabikin, Martin Skalej, Bernhard Preim, Christian Hansen
Abstract:
Human-computer interaction with medical images in a sterile environment is a challenging task. It is often dele- gated to an assistant or performed directly by the physician with an interaction device wrapped in a sterile plastic sheath. This process is time-consuming and inefficient. To address this challenge, we introduce a gesture-based in- terface for a medical image viewer that is completely touchlessly controlled by the Myo Gesture Control Armband (Thalmic Labs). Based on a clinical requirement analysis, we propose a minimal gesture set to support basic inter- action tasks with radiological images and 3D models. We conducted two user studies and a clinical test to evaluate the interaction device and our new gesture control interface. The evaluation results prove the applicability of our approach and provide an important foundation for future research in physician-machine interaction.
Reference:
Exploration of 3D Medical Image Data for Interventional Radiology using Myoelectric Gesture Control (Julian Hettig, André Mewes, Oleksandr Riabikin, Martin Skalej, Bernhard Preim, Christian Hansen), In Eurographics Workshop on Visual Computing for Biology and Medicine (Katja Bühler, Lars Linsen, Nigel W. John, eds.), The Eurographics Association, 2015.
Bibtex Entry:
@inproceedings{hettig_exploration_2015,
	address = {Chester, United Kingdom},
	title = {Exploration of 3D {Medical} {Image} {Data} for {Interventional} {Radiology} using {Myoelectric} {Gesture} {Control}},
	isbn = {978-3-905674-82-8},
	doi = {10.2312/vcbm.20151221},
	abstract = {Human-computer interaction with medical images in a sterile environment is a challenging task. It is often dele- gated to an assistant or performed directly by the physician with an interaction device wrapped in a sterile plastic sheath. This process is time-consuming and inefficient. To address this challenge, we introduce a gesture-based in- terface for a medical image viewer that is completely touchlessly controlled by the Myo Gesture Control Armband (Thalmic Labs). Based on a clinical requirement analysis, we propose a minimal gesture set to support basic inter- action tasks with radiological images and 3D models. We conducted two user studies and a clinical test to evaluate the interaction device and our new gesture control interface. The evaluation results prove the applicability of our approach and provide an important foundation for future research in physician-machine interaction.},
	booktitle = {Eurographics {Workshop} on {Visual} {Computing} for {Biology} and {Medicine}},
	publisher = {The Eurographics Association},
	author = {Hettig, Julian and Mewes, André and Riabikin, Oleksandr and Skalej, Martin and Preim, Bernhard and Hansen, Christian},
	editor = {Bühler, Katja and Linsen, Lars and John, Nigel W.},
	year = {2015}
}