Motion capture of hand movements using stereo vision for minimally invasive vascular interventions
Authors: Huang, D., Tang, W., Ding, Y., Wan, T., Wu, X. and Chen, Y.
Journal: Proceedings - 6th International Conference on Image and Graphics, ICIG 2011
Pages: 737-742
ISBN: 9780769545417
DOI: 10.1109/ICIG.2011.125
Abstract:A virtual reality (VR) based training system for Minimally Invasive Vascular Surgery can be a very useful training tool for improving skills and reducing errors in operation. Computer vision techniques have the potential to be incorporated into a VR based training system for developing low cost, high accuracy and flexible systems in this area. In this paper, we present an interactive 3D training system that uses stereo vision to capture hand movements as the input operations for the system. The standard operations i.e. pushing, pulling and twisting are captured with stereo vision based on the improved Camshift tracking algorithm and parallel alignment model theory to acquire hand gestures information. We present a new approach to calculate virtual pushing/pulling force and turning angle as extra inputs for understanding these essential operations. In addition, an algorithm that enables the simulator to model guidewire and catheter insertions realistically is presented through these basic actions. The experiment results demonstrate that stereo vision based training system is useful and effective for simulating guidewire insertion procedures with low system cost and flexible operations. © 2011 IEEE.
Source: Scopus
Motion Capture of Hand Movements Using Stereo Vision for Minimally Invasive Vascular Interventions
Authors: Huang, D., Ding, Y. and Tang, W.
Conference: in Proceedings of the 6th International Conference on Image and Graphics
Dates: 12-15 August 2011
Publisher: IEEE
Source: Manual
Preferred by: Wen Tang