Publication: A Method of 3D Hand Movement Recognition by a Leap Motion Sensor for Controlling Medical Image in an Operating Room
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Issued Date
2019
Resource Type
File Type
application/pdf
Other identifier(s)
2-s2.0-85063290327
Rights Holder(s)
Scopus
Bibliographic Citation
2019 1st International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics, ICA-SYMP 2019. (2019), p.17-20
Suggested Citation
Sa-Nguannarm P., Charoenpong T., Chianrabutra C., Kiatsoontorn K. A Method of 3D Hand Movement Recognition by a Leap Motion Sensor for Controlling Medical Image in an Operating Room. 2019 1st International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics, ICA-SYMP 2019. (2019), p.17-20. doi:10.1109/ICA-SYMP.2019.8645985 Retrieved from: https://hdl.handle.net/20.500.14740/5456
Abstract
A problem of surgery is an infection of patient. In this paper, we presented a method to control medical image in an operating room by using only a hand. The proposed methods consisted of five steps, namely 1) data acquisition from Leap Motion sensor 2) hand visualization with color mapping 3) close and open hand classification 4) hand gesture recognition and 5) command interpretation. The system has total ten commands divided to six commands on program screen, namely, waiting, selection, searching next image in left and right direction, and increasing and decreasing brightness, and four commands on button; namely, zoom in, zoom out, clockwise rotation, and counterclockwise rotation. An accuracy rate average is 95.83%. The results show that the proposed method performs effectively. The advantage of the proposed method is one hand can control the image. © 2019 IEEE.
Subject(s)
Artificial intelligence
Data acquisition
Data visualization
Medical imaging
Operating rooms
Palmprint recognition
Robotics
Search engines
Clockwise rotation
Close and opens
Controlling medical image system
Counter clockwise rotation
Hand-gesture recognition
Leap Motion
Motion sensors
Movement pattern
Motion estimation
Data acquisition
Data visualization
Medical imaging
Operating rooms
Palmprint recognition
Robotics
Search engines
Clockwise rotation
Close and opens
Controlling medical image system
Counter clockwise rotation
Hand-gesture recognition
Leap Motion
Motion sensors
Movement pattern
Motion estimation