Title
Human-Manipulator Interface Based on Multisensory Process via Kalman Filters.
Abstract
This paper presents a human-robot interface, which incorporates Kalman filters (KFs) and adaptive multispace transformation (AMT), to track movements of the human hand and control the robot manipulator. This system employs one inertial measurement unit and a 3-D camera (Kinect) to determine the orientation and translation of the human hand, and uses KFs to estimate these. Although KFs can estimate...
Year
DOI
Venue
2014
10.1109/TIE.2014.2301728
IEEE Transactions on Industrial Electronics
Keywords
Field
DocType
Vectors,Joints,Robot sensing systems,Damping,Licenses,Tracking
Control theory,Control engineering,Handshaking,Artificial intelligence,Inertial measurement unit,Operator (computer programming),Human–robot interaction,Robot control,Computer vision,Image sensor,Kalman filter,Engineering,Robot
Journal
Volume
Issue
ISSN
61
10
0278-0046
Citations 
PageRank 
References 
4
0.48
16
Authors
3
Name
Order
Citations
PageRank
Guanglong Du111514.06
Ping Zhang2587.64
Di Li34814.30