By Topic

Motion classification using IMU for human-robot interaction

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
$31 $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

2 Author(s)
Saktaweekulkit, K. ; Inst. of Field Robot., King Mongkut''s Univ. of Technol., Thonburi, Thailand ; Maneewarn, T.

This paper proposed the method for identifying motion of the robot using signals from an Inertial Measurement Unit (IMU). When human interacted with the robot, the motion of the robot needed to be classified in order to create the suitable emotions of the robot during the human-robot interaction process. The output data from the IMU were classified by applying heuristic conditions to the high and low frequency data. Wavelet transform was added in the pre-processing step for finding the starting point of the motion state. We found that most of our tested actions could be correctly classified using our proposed method with 100% accuracy.

Published in:

Control Automation and Systems (ICCAS), 2010 International Conference on

Date of Conference:

27-30 Oct. 2010