Evaluation of Hand Gesture Annotation in Remote Collaboration Using Augmented Reality
PubDate: August 2018
Teams: Kogakuin University
Writers: Shohei Yamada; Naiwala P. Chandrasiri
In this research we have devised a system which can tell works to the worker by using the hand gestures of the helper. In this system, by using augmented reality, it is possible to display as if the helper’s hand model actually exist in front of the worker. In order to evaluate the usefulness of the proposed system, we conducted comparative experiments on remote work support by instruction annotations using conventional method of drawn lines, and the proposed method of by using hand gesture instructions. As a result, no significant difference was found between two methods in terms of ease of understanding in the instructions. However, regarding working time, the hand gesture instructions were shorter by 20 seconds (shortened by 19%) on average than the other.