A gesture-based tool for sterile browsing of radiology images. Export

@article{citeulike:3484933, abstract = {The use of doctor-computer interaction devices in the operation room (OR) requires new modalities that support medical imaging manipulation while allowing doctors' hands to remain sterile, supporting their focus of attention, and providing fast response times. This paper presents "Gestix," a vision-based hand gesture capture and recognition system that interprets in real-time the user's gestures for navigation and manipulation of images in an electronic medical record (EMR) database. Navigation and other gestures are translated to commands based on their temporal trajectories, through video capture. "Gestix" was tested during a brain biopsy procedure. In the in vivo experiment, this interface prevented the surgeon's focus shift and change of location while achieving a rapid intuitive reaction and easy interaction. Data from two usability tests provide insights and implications regarding human-computer interaction based on nonverbal conversational modalities.}, author = {Wachs, J. P. and Stern, H. I. and Edan, Y. and Gillam, M. and Handler, J. and Feied, C. and Smith, M.}, citeulike-article-id = {3484933}, citeulike-linkout-0 = {http://dx.doi.org/10.1197/jamia.M241}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/18451034}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=18451034}, doi = {10.1197/jamia.M241}, issn = {1067-5027}, journal = {Journal of the American Medical Informatics Association : JAMIA}, keywords = {application, gesture, hand, recognition}, number = {3}, pages = {321--323}, posted-at = {2008-11-06 16:13:02}, priority = {2}, title = {A gesture-based tool for sterile browsing of radiology images.}, url = {http://dx.doi.org/10.1197/jamia.M241}, volume = {15}, year = {2008} }

TY - JOUR ID - citeulike:3484933 L3 - citeulike-article-id:3484933 N2 - The use of doctor-computer interaction devices in the operation room (OR) requires new modalities that support medical imaging manipulation while allowing doctors' hands to remain sterile, supporting their focus of attention, and providing fast response times. This paper presents "Gestix," a vision-based hand gesture capture and recognition system that interprets in real-time the user's gestures for navigation and manipulation of images in an electronic medical record (EMR) database. Navigation and other gestures are translated to commands based on their temporal trajectories, through video capture. "Gestix" was tested during a brain biopsy procedure. In the in vivo experiment, this interface prevented the surgeon's focus shift and change of location while achieving a rapid intuitive reaction and easy interaction. Data from two usability tests provide insights and implications regarding human-computer interaction based on nonverbal conversational modalities. IS - 3 JF - Journal of the American Medical Informatics Association : JAMIA SN - 1067-5027 EP - 323 TI - A gesture-based tool for sterile browsing of radiology images. VL - 15 SP - 321 KW - application KW - gesture KW - hand KW - recognition AU - Wachs, JP AU - Stern, HI AU - Edan, Y AU - Gillam, M AU - Handler, J AU - Feied, C AU - Smith, M PY - 2008///n UR - http://dx.doi.org/10.1197/jamia.M241 ER -