Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1637-1642 |
| Number of pages | 6 |
| ISBN (Print) | 9781467396745 |
| DOIs | |
| Publication status | Published - 2016 Feb 24 |
| Event | IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 - Zhuhai, China Duration: 2015 Dec 6 → 2015 Dec 9 |
Other
| Other | IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015 |
|---|---|
| Country | China |
| City | Zhuhai |
| Period | 15/12/6 → 15/12/9 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Hardware and Architecture
- Control and Systems Engineering
Cite this
Development of an endoscopic manipulator control system with intention recognition based on pupil movement. / Cao, Yang; Liu, Quanquan; Kobayashi, Yo; Kawamura, Kazuya; Sugano, Shigeki; Fujie, Masakatsu G.
2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1637-1642 7419006.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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.
PY - 2016/2/24
Y1 - 2016/2/24
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
SN - 9781467396745
SP - 1637
EP - 1642
BT - 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -