By Topic

A Gesture Model and Its Applications in Risk Assessment for Misrecognition

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Jian Lu ; National Institute of Occupational Safety and Health, 1-4-6 Umezono, Kiyose-shi, Tokyo, 204-0024 Japan. ; Wei Jiang ; Kyoko Hamajima

Before the gesture recognition is to be widely used as a new method for human-robot interface, some measurements are required for risk assessment and for risk reduction to assure safety, especially if the interface is to be used in action control for the robot working in human-robot cooperation style. In order to assess and to reduce the risk from misrecognition of gestures, a quantitative 3D model was proposed for representing gestures, and a quantitative measurement, called gesture distance, was proposed for the evaluation about how much the difference between gestures are. As the example of using the gesture distance, the method to implement the gesture recognition based on the gesture distance was briefly described, and then the risk assessment for a gesture recognition system was given based on the anthropometric data in Japanese Anthropometric Database.

Published in:

2006 IEEE International Conference on Robotics and Biomimetics

Date of Conference:

17-20 Dec. 2006