A self configured and hybrid fusion approach for an electric wheelchair control

Author(s):  
Fatma Ben Taher ◽  
Nader Ben Amor ◽  
Mohamed Jallouli
2016 ◽  
Vol 6 (4) ◽  
pp. 234-241
Author(s):  
Fatma Ben Taher ◽  
Nader Ben Amor ◽  
Mohamed Jallouli ◽  
Aicha Ben Hammouda ◽  
Olfa Dghim

2010 ◽  
Vol 22 (4) ◽  
pp. 439-446 ◽  
Author(s):  
Sho Yokota ◽  
◽  
Hiroshi Hashimoto ◽  
Yasuhiro Ohyama ◽  
Jinhua She ◽  
...  

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.


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

2010 ◽  
Vol 2010 (0) ◽  
pp. _1A1-E29_1-_1A1-E29_4
Author(s):  
Hirokazu Sakamoto ◽  
Ryuma Miyake ◽  
Haruo Aoki ◽  
Hiroshi Ohtake ◽  
Kazuo Tanaka

2009 ◽  
Vol 14 (3) ◽  
pp. 397-400 ◽  
Author(s):  
Djoko Purwanto ◽  
Ronny Mardiyanto ◽  
Kohei Arai

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