VR 2017

2017 IEEE Virtual Reality (VR), March 18-22, 2017, Los Angeles, CA, USA

Desktop Layout

Poster Session A
Posters
Ballroom A/B
Virtual Reality Based Training: Evaluation of User Performance by Capturing Upper Limb Motion
Ehsan Zahedi, Hadi Rahmat-Khah, Javad Dargahi, and Mehrdad Zadeh
(Concordia University, Canada; Kettering University, USA)
Abstract: 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.

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Time stamp: 2019-08-23T09:32:33+02:00