2017 IEEE Virtual Reality (VR) (2017)
Los Angeles, CA, USA
March 18, 2017 to March 22, 2017
Ehsan Zahedi , Concordia University, Canada
Hadi Rahmat-Khah , Kettering University, USA
Javad Dargahi , Concordia University, Canada
Mehrdad Zadeh , Kettering University, USA
This paper presents the results of a two-fold study on the incorporation of upper limb's movement into measuring of user performance in a virtual reality (VR) based training simulation. VR simulators have been developed to assess and improve minimally invasive surgery (MIS) skills. While these simulators are currently being used, most skill evaluation methods are limited to measuring and computing performance metrics regarding the MIS tool tip movement. In this study, a VR simulator is developed to measure and analyze the movements of upper limb joints. The movement analysis from the first experiment suggests that the kinematic data of upper limb can be used to discriminate an expert surgeon from a novice trainee. The results from the second experiment show that the motion of non-dominant hand has a significant effect on the performance of dominant hand.
Surgery, Wrist, Elbow, Training, Virtual reality, Solid modeling, Motion measurement
E. Zahedi, H. Rahmat-Khah, J. Dargahi and M. Zadeh, "Virtual reality based training: Evaluation of user performance by capturing upper limb motion," 2017 IEEE Virtual Reality (VR), Los Angeles, CA, USA, 2017, pp. 255-256.