EOG-Based HCI System for Quadcopter Navigation

Milanizadeh, Sohrab; Safaie, Javad

doi:10.1109/tim.2020.3001411

Cited by 19 publications

(12 citation statements)

References 21 publications

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“…The EOG signals can be efficiently applied in various Human–Machine and/or Human–Computer Interfaces, as they are usually based on users’ eye movement intentions or actual movements, thus such systems use limited number of commands based on basic eye movements (looking up, down, left, or right) [ 102 , 103 , 104 , 105 ].…”

Section: Electrooculographymentioning

confidence: 99%

Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals

Martínek

Ládrová

Šidiková

et al. 2021

Sensors

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Analysis of biomedical signals is a very challenging task involving implementation of various advanced signal processing methods. This area is rapidly developing. This paper is a Part III paper, where the most popular and efficient digital signal processing methods are presented. This paper covers the following bioelectrical signals and their processing methods: electromyography (EMG), electroneurography (ENG), electrogastrography (EGG), electrooculography (EOG), electroretinography (ERG), and electrohysterography (EHG).

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Section: Electrooculographymentioning

confidence: 99%

Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals

Martínek

Ládrová

Šidiková

et al. 2021

Sensors

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“…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]. Vertical EOG and horizontal EOG signals have been picked from the subject for various purposes [20][21][22][23]. By picking the vertical EOG signal, a low-cost driver alertness system has been designed for preventing road accidents by quickly alerting the driver if he feels drowsiness to ensure their safety [24].…”

Section: Literature Reviewmentioning

confidence: 99%

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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“…As it has been mentioned above-the Human-Machine Interfaces (HMI) are currently playing more and more important role in human lives [1], also because the most modern Human-Machine Interfaces enable direct communication between an external device and a human, so there is no need to use any other control equipment such as mouse or keyboard [3,14].…”

Section: Introductionmentioning

confidence: 99%

“…Such systems can also help some handicapped users to interact with the external environment in a more direct, user-friendly, intuitive way [3,15,16]. Some of the listed below newest HMI systems apply various biomedical signals for control purposes [2,3,11,14,17]: The HCI systems can be divided into the two following categories [18]:…”

Section: Introductionmentioning

confidence: 99%

Summary of over Fifty Years with Brain-Computer Interfaces—A Review

et al. 2021

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Over the last few decades, the Brain-Computer Interfaces have been gradually making their way to the epicenter of scientific interest. Many scientists from all around the world have contributed to the state of the art in this scientific domain by developing numerous tools and methods for brain signal acquisition and processing. Such a spectacular progress would not be achievable without accompanying technological development to equip the researchers with the proper devices providing what is absolutely necessary for any kind of discovery as the core of every analysis: the data reflecting the brain activity. The common effort has resulted in pushing the whole domain to the point where the communication between a human being and the external world through BCI interfaces is no longer science fiction but nowadays reality. In this work we present the most relevant aspects of the BCIs and all the milestones that have been made over nearly 50-year history of this research domain. We mention people who were pioneers in this area as well as we highlight all the technological and methodological advances that have transformed something available and understandable by a very few into something that has a potential to be a breathtaking change for so many. Aiming to fully understand how the human brain works is a very ambitious goal and it will surely take time to succeed. However, even that fraction of what has already been determined is sufficient e.g., to allow impaired people to regain control on their lives and significantly improve its quality. The more is discovered in this domain, the more benefit for all of us this can potentially bring.

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EOG-Based HCI System for Quadcopter Navigation

Cited by 19 publications

References 21 publications

Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals

Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals

Study of electrooculography signal acquisition sites for assistive device applications

Summary of over Fifty Years with Brain-Computer Interfaces—A Review

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