Design and Development of an EOG-based System to Control Electric Wheelchair for People Suffering from Quadriplegia or Quadriparesis

Bhuyain, Md. Fahim; Shawon, Md. Ahsan-Ul Kabir; Sakib, Nazmus; Faruk, Tasnuva; Islam, Kafiul; Salim, Khosru M

doi:10.1109/icrest.2019.8644378

Cited by 15 publications

(11 citation statements)

References 10 publications

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“…Each of these values is represented by a different color. Figures 9,10,11,12,13,14,15,16,17,18,19,20 and 21 show the peak-to-peak voltage data obtained for all seven subjects for all electrode positions. Each of these values is in volts and represents the peak-to-peak amplitude of the EOG signal.…”

Section: Resultsmentioning

confidence: 99%

“…EOG based systems have been designed for controlling the virtual keyboard and mouse cursor [11][12][13]. Recently some researchers have used a stable EOG interfacing unit for controlling electric wheelchairs for disabled people [14][15][16][17][18]. Signal de-noising methods such as wavelet transform technique, amplification procedure and artifacts reduction techniques have been employed to get an excellent noise-free EOG signal [5,19].…”

Section: Literature Reviewmentioning

confidence: 99%

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Study of electrooculography signal acquisition sites for assistive device applications

Raj¹

2021

IJATEE

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Electrooculography (EOG) is a technique that involves the measurement of the corneo-retinal standing potential of the eye. The human eye acts as a dipole between the cornea (positive potential) and the retina (negative potential), creating an electric field around the eyeball. The resulting electric signal obtained from this field is called electrooculogram. These signals, generated by eye movements, could be measured by employing different electrode placement configurations for the acquisition. The properties of these signals change depending on the number and placement of the electrodes. The study conducted here describes EOG signal acquisition using new electrode placement configurations that employ fewer facial electrodes placed on the patient. Three pre-gelled disposable electrodes were utilized for this purpose. Only one electrode was placed on a facial location, enhancing patient comfort during the acquisition procedure. To support this study, a lowcost signal acquisition hardware was developed. Using active filtering and amplification, appropriate signal processing techniques were executed upon the horizontal EOG signal acquired to reduce noise and interference due to external conditions. Hence, this paper presents the findings of new electrode placement sites for the acquisition of EOG signals which could be used for assistive device applications while restricting the number of facial electrodes to one. Most of the studies regarding the EOG signal acquisition had been using all electrodes in the face region. In contrast, we reduced the number of electrodes in the face region, thereby providing patient comfort. The comparison was made mainly on the acquired data from these new locations to discover the configuration with the optimal signal response using data obtainedfrom seven healthy subjects. The amplitude values were being compared from the new locations with the standard acquisition sites. The findings of this study were found to have a productive result. The total gain of the system required for new electrode placement configurations was two times more than the total gain required for standard acquisition sites, and also, the amplitude was less but can be helpful for assistive device applications. The average peak to peak amplitude value of the EOG signal for the new site came around about 1.25 volt.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Study of electrooculography signal acquisition sites for assistive device applications

Raj¹

2021

IJATEE

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“…There are studies in which wheelchair control is performed using eye-blinks obtained from EOG signals [9,10]. EOG signals can be detected with surface electrodes placed under, above, right and left of the eye.…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Eye-Blink to Speech Conversion by Dynamic Time Warping

Ekim¹,

Atasoy²,

IKIZLER³

2021

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Motor neuron patients such as paralysis, locking syndrome, and amyotrophic lateral sclerosis can see and hear what is happening in their environment, but cannot communicate with their environment. It is very important for these patients, who do not have any physical function other than eye movements, to be able to express their needs, feelings and thoughts. Therefore, to express the thoughts, needs and feelings of these patients, a system that converts eye-blink signals to speech was developed in this study. The main purpose of the designed system is high accuracy, low cost, high speed and independence from environmental factors. Undoubtedly, it is also very important that it causes as little discomfort to the patient as possible. Morse-coded signals generated by voluntary eye-blinks and the single-channel wireless NeuroSky MindWave Mobile device eliminates the need for cost-increasing equipment such as a camera or eye tracker and environmental factors such as light. With the use of Dynamic Time Warping (DTW), an algorithm which works at high speed and high accuracy at the time domain and does not require any training process has been implemented. In this way, the recorded speech was performed with a quite impressive accuracy.

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“…In this study, they held the movements of the chair to the right and left direction by using EEG signals obtained by the imagination of these movements, and used EOG in the forward, backward, and stopping movements of the chair, and in the control of the robotic arm (Huang, Zhang, Yu, He, & Li, 2019). In addition to these studies, there are also different studies in which EOG signals are used in device control (Bhuyain et al, 2019;Huang, Chen, et al, 2019;T. Li, Yang, Bai, & Wang, 2018;Y.…”

Section: Introductionmentioning

confidence: 99%

EOG – Based Computer Control System for People with Mobility Limitations

Keskinoğlu¹,

Aydın²

2021

European Journal of Science and Technology

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Computer usage is an essential task that is required in almost every aspect of life today. As technology develops, this task becomes more and more necessary in the broader area. This task, which is quite simple for healthy people, has difficulties for people with muscular diseases or limited mobility. It is essential to use a computer not to have problems in their daily lives and adaptions. In this study, a computer control system was designed so that people with diseases such as ALS and paralysis can control computers easily. This system controls the mouse cursor according to the signal obtained by using the person's EOG signals. In this way, such people can control the computer without using their hands. In the study, the obtained EOG signals were amplified with an instrumentation amplifier and filtered digitally, thus it is ensured that the system can perform successfully. The designed system has great ease of use as it is a microcontroller-based and portable system and has a small size. In addition to the hardware, the embedded software necessary for the system's control has also been developed. With this designed system, people with limited mobility will easily use computers with only glasses in their daily lives.

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Design and Development of an EOG-based System to Control Electric Wheelchair for People Suffering from Quadriplegia or Quadriparesis

Cited by 15 publications

References 10 publications

Study of electrooculography signal acquisition sites for assistive device applications

Study of electrooculography signal acquisition sites for assistive device applications

A New Approach for Eye-Blink to Speech Conversion by Dynamic Time Warping

EOG – Based Computer Control System for People with Mobility Limitations

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