Motor Imagery Based Fuzzy Logic Controlled Intelligent Wheelchair

2021 ◽  
Author(s):  
Tapan Das ◽  
Priyanka Nath
Keyword(s):  
Fuzzy Logic ◽  
Motor Imagery ◽  
Intelligent Wheelchair

NAVIGATION CONTROL OF AN INTELLIGENT WHEELCHAIR USING FUZZY LOGIC

1999 ◽  
Vol 07 (04) ◽  
pp. 327-336 ◽  
Author(s):  
MIKIO MAEDA ◽  
YASUSHI NAKAYAMA ◽  
SHUTA MURAKAMI
Keyword(s):  
Fuzzy Logic ◽  
Old Age ◽  
Navigation System ◽  
Intelligent Wheelchair ◽  
Hospital Patients ◽  
Environment Recognition ◽  
Navigation Control ◽  
Navigation Planning ◽  
Physically Handicapped ◽  
Control Part

Hospital patients, persons of old age, and physically handicapped persons need wheelchairs and helpers. When a helper carries one of these persons, he/she must be attend on the person ridden on a wheelchair. The helpers are busy and have a lot of work. Patients without helpers grow very tired navigating their wheelchairs. To help, we propose an autonomous fuzzy navigation system for an automatic control of a wheelchair. This system consists of a navigation planning part, a navigation control part, and an environment recognition part. In this paper, we describe an intelligent wheelchair with a fuzzy navigation system and discuss experimental results.

EEG Signals Classification: Motor Imagery for Driving an Intelligent Wheelchair

2018 ◽  
Vol 16 (1) ◽  
pp. 254-259 ◽  
Author(s):  
O.R. Pinheiro ◽  
L.R.G. Alves ◽  
J.R.D. Souza
Keyword(s):  
Motor Imagery ◽  
Eeg Signals ◽  
Intelligent Wheelchair

An EEG Based Control System for Intelligent Wheelchair

2013 ◽  
Vol 300-301 ◽  
pp. 1540-1545 ◽  
Author(s):  
Min Li ◽  
Yi Zhang ◽  
Hui Zhang ◽  
Huo Sheng Hu
Keyword(s):  
Signal Processing ◽  
Control System ◽  
Motion Control ◽  
Motor Imagery ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Practical Application ◽  
Eeg Signals ◽  
Left Hand ◽  
Intelligent Wheelchair

This paper presents a brain computer interface to control an intelligent wheelchair based on EEG signals. EEG signals are collected and analysed by using Emotiv. After signal processing, the events about motor imagery are generated and the commands are designed and transmitted to intelligent wheelchair. Finally, the system realizes the motion control of the intelligent wheelchair through subject's motor imagery of left hand, right hand and legs. Besides, the events about motor imagery are expressed in the form of virtual movement as the feedback of system. The Experiment results show that the control system is feasible and has better stability. It establishes a basis of practical application for EEG control intelligent wheelchair.

Hysteresis in Categorization: Fuzzy Logic Makes Fuzzy Boundaries

2012 ◽  
Author(s):  
Thomas M. Crawford ◽  
Justin Fine ◽  
Donald Homa
Keyword(s):  
Fuzzy Logic

The loading of motor imagery

2006 ◽  
Author(s):  
Andrew B. Slifkin
Keyword(s):  
Motor Imagery
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