Electric wheelchair control for avoidance of collision and downhill turning

2015 ◽  
Author(s):  
Naoki Uchiyama ◽  
Hiroki Takahashi ◽  
Shigenori Sano
Keyword(s):  
Electric Wheelchair ◽  
Wheelchair Control

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

Electric wheelchair control with gaze direction and eye blinking

2009 ◽  
Vol 14 (3) ◽  
pp. 397-400 ◽  
Author(s):  
Djoko Purwanto ◽  
Ronny Mardiyanto ◽  
Kohei Arai
Keyword(s):  
Gaze Direction ◽  
Electric Wheelchair ◽  
Wheelchair Control

scholarly journals Wheelchair control by head motion

2013 ◽  
Vol 10 (1) ◽  
pp. 135-151 ◽  
Author(s):  
Aleksandar Pajkanovic ◽  
Branko Dokic
Keyword(s):  
Medical Devices ◽  
The Body ◽  
Head Motion ◽  
Accelerometer Data ◽  
Body Parts ◽  
Motion Recognition ◽  
Electric Wheelchair ◽  
Different Types ◽  
Recognition Technique ◽  
Wheelchair Control

Electric wheelchairs are designed to aid paraplegics. Unfortunately, these can not be used by persons with higher degree of impairment, such as quadriplegics, i.e. persons that, due to age or illness, can not move any of the body parts, except of the head. Medical devices designed to help them are very complicated, rare and expensive. In this paper a microcontroller system that enables standard electric wheelchair control by head motion is presented. The system comprises electronic and mechanic components. A novel head motion recognition technique based on accelerometer data processing is designed. The wheelchair joystick is controlled by the system?s mechanical actuator. The system can be used with several different types of standard electric wheelchairs. It is tested and verified through an experiment performed within this paper.

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