TY - GEN
T1 - Development of an endoscopic manipulator control system with intention recognition based on pupil movement
AU - Cao, Yang
AU - Liu, Quanquan
AU - Kobayashi, Yo
AU - Kawamura, Kazuya
AU - Sugano, Shigeki
AU - Fujie, Masakatsu G.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - The coordination between the operator and laparoscope holder has a major effect on the process and results of laparoscopic surgery. The most intuitive method is for surgeons to manipulate the laparoscope by themselves. Here we demonstrate an endoscopic manipulator control system based on pupil movement that uses an intention recognition system to improve manipulation performance. An experimental task was designed to verify the effects of the intention recognition system. The intention recognition system is installed on endoscopic manipulator. The two core elements of the intention recognition system are an intention judge and direction judge. A comparable experiment was designed to verify the effects of the intention recognition system. The results of the experiment show that control performance was improved using the intention judge element: the task time was much shorter and the motion trail was more stable.
AB - The coordination between the operator and laparoscope holder has a major effect on the process and results of laparoscopic surgery. The most intuitive method is for surgeons to manipulate the laparoscope by themselves. Here we demonstrate an endoscopic manipulator control system based on pupil movement that uses an intention recognition system to improve manipulation performance. An experimental task was designed to verify the effects of the intention recognition system. The intention recognition system is installed on endoscopic manipulator. The two core elements of the intention recognition system are an intention judge and direction judge. A comparable experiment was designed to verify the effects of the intention recognition system. The results of the experiment show that control performance was improved using the intention judge element: the task time was much shorter and the motion trail was more stable.
UR - http://www.scopus.com/inward/record.url?scp=84964446404&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964446404&partnerID=8YFLogxK
U2 - 10.1109/ROBIO.2015.7419006
DO - 10.1109/ROBIO.2015.7419006
M3 - Conference contribution
AN - SCOPUS:84964446404
T3 - 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
SP - 1637
EP - 1642
BT - 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
Y2 - 6 December 2015 through 9 December 2015
ER -