DocumentCode :
565522
Title :
Gestonurse: A multimodal robotic scrub nurse
Author :
Jacob, Mithun G. ; Li, Yu-Ting ; Wachs, Juan P.
Author_Institution :
Sch. of Ind. Eng., Purdue Univ., West Lafayette, IN, USA
fYear :
2012
fDate :
5-8 March 2012
Firstpage :
153
Lastpage :
154
Abstract :
A novel multimodal robotic scrub nurse (RSN) system for the operating room (OR) is presented. The RSN assists the main surgeon by passing surgical instruments. Experiments were conducted to test the system with speech and gesture modalities and average instrument acquisition times were compared. Experimental results showed that 97% of the gestures were recognized correctly under changes in scale and rotation and that the multimodal system responded faster than the unimodal systems. A relationship similar in form to Fitts´s law for instrument picking accuracy is also presented.
Keywords :
human-robot interaction; medical robotics; surgery; Fitts law; OR; RSN; gestonurse; gesture modalities; instrument acquisition times; instrument picking accuracy; multimodal robotic scrub nurse; operating room; speech modalities; surgical instruments; Accuracy; Algorithm design and analysis; Gesture recognition; Instruments; Robots; Speech; Speech recognition; gesture recognition; human-robot interaction; multimodal interfaces; robotic scrub nurse;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Human-Robot Interaction (HRI), 2012 7th ACM/IEEE International Conference on
Conference_Location :
Boston, MA
ISSN :
2167-2121
Print_ISBN :
978-1-4503-1063-5
Electronic_ISBN :
2167-2121
Type :
conf
Filename :
6249501
Link To Document :
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