Comparison of Electric Wheelchair Control Systems in a Virtual Environment

2018 ◽  
Author(s):  
Philip Payne ◽  
Erika Sanchez-Velazquez
Keyword(s):  
Control Systems ◽  
Virtual Environment ◽  
Electric Wheelchair ◽  
Wheelchair Control

scholarly journals Control system for trials on material ship model

2012 ◽  
Vol 19 (Special) ◽  
pp. 25-30 ◽  
Author(s):  
Janusz Pomirski ◽  
Andrzej Rak ◽  
Witold Gierusz
Keyword(s):  
Control System ◽  
Control Systems ◽  
Virtual Environment ◽  
Motion Control ◽  
Ship Motion ◽  
Matlab Simulink ◽  
Ship Model ◽  
Measurement Devices

ABSTRACT The paper presents software environement for fast prototyping and verification of motion control systems for ship. The environement is prepared for isomorphic reduced ship model which is used for training and in research in a area of ship motion control. The control system is build using Matlab-Simulink-xPC package which simplifies and accellerates design and verification of new control algorithms. The systems was prepared also for Hardwarein- the-loop trials when a designed control system is tested inside a virtual environment instead of real actuators, disturbances, communication and measurement devices.

Electric Wheelchair Controlled by Human Body Motion -Classification of Body Motion and Improvement of Control Method-

2010 ◽  
Vol 22 (4) ◽  
pp. 439-446 ◽  
Author(s):  
Sho Yokota ◽  
◽  
Hiroshi Hashimoto ◽  
Yasuhiro Ohyama ◽  
Jinhua She ◽  
...  
Keyword(s):  
Pressure Distribution ◽  
Human Body ◽  
Control Method ◽  
Body Movement ◽  
Single Point ◽  
Movement Pattern ◽  
Body Motion ◽  
Self Organizing Map ◽  
Electric Wheelchair ◽  
Wheelchair Control

This paper classifies human body movements when an electric wheelchair was controlled using a Human Body Motion Interface (HBMI) by a Self-Organizing Map (SOM) and proposes control based on classification results. The Human Body Motion Interface (HBMI) uses body movement following voluntary motion. This study focuses on electric wheelchair control as an application of the HBMI. The viability of the HBMI was confirmed using Center Of Weight (C.O.W.) from pressure distribution information on backrest in the wheelchair to control it. If body movement concentrated on a single point at C.O.W. in pressure distribution, a problem occurred because the system would recognize even different body-movement patterns as the same movement. We call body movement taking the same C.O.W. even if it has a different body-movement pattern movement confusion. We solve the movement confusion problem and enhance wheelchair control, classifying body movement using the SOM and reflecting this classification result to improve wheelchair control. Experimental results showed that movement confusion is solved and wheelchair control improved.

Face Orientation Recognition for Electric Wheelchair Control

2014 ◽  
Vol 2 (4) ◽  
pp. 402-405 ◽  
Author(s):  
Chanlit Noiruxsar ◽  
Pranchalee Samanpiboon
Keyword(s):  
Electric Wheelchair ◽  
Wheelchair Control

1A1-E29 Electric Wheelchair Control via a Training-Free Brain-Machine Interface

2010 ◽  
Vol 2010 (0) ◽  
pp. _1A1-E29_1-_1A1-E29_4
Author(s):  
Hirokazu Sakamoto ◽  
Ryuma Miyake ◽  
Haruo Aoki ◽  
Hiroshi Ohtake ◽  
Kazuo Tanaka
Keyword(s):  
Brain Machine Interface ◽  
Electric Wheelchair ◽  
Machine Interface ◽  
Wheelchair Control

A Virtual Environment for Industrial Control Systems

2018 ◽  
Author(s):  
Andrés Felipe Murillo ◽  
Luis Francisco Cómbita ◽  
Andrea Calderón Gonzalez ◽  
Sandra Rueda ◽  
Alvaro A. Cardenas ◽  
...  
Keyword(s):  
Control Systems ◽  
Virtual Environment ◽  
Industrial Control ◽  
Industrial Control Systems
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