Please use this identifier to cite or link to this item:
Title: Collision detection in computer simulations for wrist arthroscopic surgery training
Authors: Yaacoub, Fadi
Hamam, Yskandar
Abche, Antoine 
Affiliations: Department of Electrical Engineering 
Keywords: Biomedical education
Computer based training
Digital simulation
Force feedback
Haptic interfaces
Medical computing
Real-time systems
Solid modelling
Subjects: Virtual reality
Human computer interaction
Linear programming
Issue Date: 2007
Publisher: IEEE
Part of: The International Conference on "Computer as a Tool" EUROCON, 2007.
Start page: 2088
End page: 2095
Conference: EUROCON 2007 - The International Conference on "Computer as a Tool" (9-12 Sept. 2007 : Warsaw, Poland) 
Computer-Based surgical simulators are one of the most recent topics in virtual reality development. They have become the training method and the tool to acquire valuable information for many medical students and medical practitioners. The real-time interactive collision detection is an important problem that must be addressed to make such simulators more realistic. In this regard, this paper addresses the issue of precise collision detection between virtual objects and proposes a new technique. First, the convex hull of each object is constructed. Then, the problem is formulated and a linear programming solution is obtained to determine whether a collision exists or not. The algorithm is tested on a medical application. The proposed collision detection approach is compared with two conventional algorithms namely the IVRI-CD and SWIFT techniques and validated using a 3D wrist model. A Haptic feedback system is implemented for evaluation purposes. The results show that the proposed approach is efficient, accurate, fast and robust in detecting collision between virtual objects during training and experimenting surgery.
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Electrical Engineering

Show full item record

Record view(s)

checked on Oct 23, 2021

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.