A review of disability EEG based wheelchair control system: Coherent taxonomy, open challenges and recommendations

2018 ◽  
Vol 164 ◽  
pp. 221-237 ◽  
Author(s):  
Z.T. Al-qaysi ◽  
B.B. Zaidan ◽  
A.A. Zaidan ◽  
M.S. Suzani
Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 109
Author(s):  
Theja Pingali ◽  
Edward Lemaire ◽  
Natalie Baddour

In social situations, people who use a powered wheelchair must divide their attention between navigating the chair and conversing with people. These conversations could lead to increased mental stress when navigating and distraction from maneuvering the chair. As a solution that maintains a good conversation distance between the wheelchair and the accompanying person (Social Following), a wheelchair control system was developed to provide automated side-by-side following by wirelessly connecting the wheelchair to the person. Two ultrasonic range sensors and three piezoelectric ultrasonic transducers were used to identify the accompanying person and determine their position and heading. Identification involved an ultrasonic beacon worn on the person’s side, at hip level, and receivers on the wheelchair. A drive control algorithm maintained a constant conversation distance along the person’s trajectory. A plug-and-play prototype was developed and connected to a Permobil F5 Corpus wheelchair with a modified Eightfold Technologies SmartChair Remote. Results demonstrated that the system can navigate a wheelchair based on the accompanying person’s trajectory, which is advantageous for users who require hands-free wheelchair control during social activities.


2021 ◽  
Vol 21 (3) ◽  
pp. 79-84
Author(s):  
Zhenhao Ji ◽  
Yu Tian ◽  
Jifu Wang ◽  
Mingyuan Ding ◽  
Haoxin Wang ◽  
...  

2009 ◽  
Vol 18 (03) ◽  
pp. 439-465 ◽  
Author(s):  
TORSTEN FELZER ◽  
BRUNO STRAH ◽  
RAINER NORDMANN ◽  
SEBASTIAN MIGLIETTA

This paper deals with various ways of controlling an electrically powered wheelchair beyond the usual method involving a manual joystick. The main focus is on the newest version of HaWCoS – the "HAnds-free Wheelchair COntrol System" – allowing persons with severe disabilities to reliably navigate a power wheelchair without the need to use the hands. All the user has to do is to produce a sequence of tiny contractions of an arbitrary muscle, e.g., by raising the eyebrow. The working prototype of the system, which has been realized as a stand-alone device, is introduced in detail, together with a closer look at the muscle-based control principle and a brief description of a PC-based simulator. The advantages and the drawbacks of the system are discussed on the basis of a rather simple real-life experiment. The paper also elaborates on possible approaches to improve HaWCoS (by reducing or eliminating its problems) in the future. In addition to a quick software solution and a controller implementation involving supplemental sensory information, planned "improvements" include the development of an "intelligent wheelchair" with HaWCoS being some sort of a prototype for the User Interface component.


2013 ◽  
Vol 655-657 ◽  
pp. 1427-1430
Author(s):  
Tian Min Guan ◽  
Xi Mei Wang ◽  
Yan Li Yuan

According to the idea of the modular design, an intelligent wheelchair control system based on F28335 is designed. This paper introduces this system, including the whole structure, hardware composition and corresponding software design. Control mode of the intelligent wheelchair is divided into manual control and automatic control mode. Using the operating lever, brain wave control signal and hands, users can let the intelligent wheelchair go forward, go backward, turn left, turn right, accelerate and stop. This control system has a lot of advantages, for example, simple structure and easy to expand functions and so on.


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