Electro-oculography mouse for amyotrophic lateral sclerosis patients

Tsutsumi, Yutaka; Igarashi, Yutaka; Honda, Saho; Matsuo, Nobuaki

doi:10.1109/iembs.1996.646252

Cited by 15 publications

(12 citation statements)

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“…The potential difference can be taken as the electrical dipole with a negative pole at the fundus and positive pole at the cornea. By measuring the voltage induced across a set of electrode coils pasted around the eyes as, we can measure the electric signal of the eye's dipole as the eye-movement changes (Norris & Wilson, 1997;Park & Lee, 1996;Tomita et al, 1996;Venkataramanan et al, 2005). EOG is the most widely used technique in measuring the bio-potential.…”

Section: Electro-oculography (Eog)mentioning

confidence: 99%

“…Diagnosis of subnormal eye through the analysis of EOG signals and then to assist the physician to make the final decision without hesitation (Güven & Kara, 2006a, 2006b. So the eye-movement HCI can be taken as an input device for communication (Norris & Wilson, 1997;Park & Lee, 1996;Tomita, Igarashi, & Matsuo, 1996;Venkataramanan et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

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EOG-based Human–Computer Interface system development

Deng

Hsu

Lin

et al. 2010

Expert Systems with Applications

164

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Section: Electro-oculography (Eog)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

EOG-based Human–Computer Interface system development

Deng

Hsu

Lin

et al. 2010

Expert Systems with Applications

164

View full text Add to dashboard Cite

“…This interface is very useful for patients with amyotrophic lateral sclerosis (ALS). ALS patients may lose the oral speaking and hand movements abilities; however, their eye movement functions generally remain relatively intact and become the last resource for communication (Park et al, 2005;Tomita et al, 1996;Tsai and Chen, 2009).…”

Section: Introductionmentioning

confidence: 99%

Development of robust electrooculography (EOG)-based human-computer interface controlled by eight-directional eye movements

Aungsakun¹

2012

Int. J. Phys. Sci.

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Electrooculography (EOG) signal is one of the useful electro-physiological signals. The EOG signals provide information about eye movements that can be used as a control signal in human-computer interface (HCI). Usually, eight-directional movements, including up, down, right, left, upright , up-left, downright and down-left, are proposed. Development of the EOG signal classification has been shown more increasing interest in the last decade; however, the effect of noises on classification system is a major problem to degrade the usefulness of EOG-based HCI. A robust classification algorithm of the eight movements is proposed, in which this technique can conduct the effect of noises in EOG signal, particularly for involuntary movements and eye-blink artifacts. The proposed algorithm was based on the onset analysis, feature extraction, the first derivative technique and threshold classification. Eight beneficial time domain features were proposed including the peak and the valley amplitude positions, and the upper and the lower wavelengths of two EOG channels, vertical and horizontal channels. Based on the optimal threshold values and conditions, the results showed that classification accuracy reached 100% for three-subject testing. In addition, the first derivative technique was additionally implemented in order to avoid the eye-blink artifact and other eight time domain features, that is, peak amplitude and area under curve, have been investigated for use in advanced HCI interfaces, notably, eye activity and eye writing recognitions.

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“…Through this signal, vertical and horizontal movements of the eye can be used for cursor manipulation and eye blink for clicking. There are also studies that able to discriminate eye winks to eye blinks to avoid unintended clicks [18].…”

Section: Methodsmentioning

confidence: 99%