Biomedical instrumentation based on electrooculogram (eog) signal processing and application to a hospital alarm system

Venkataramanan, S.; Prabhat, Pranay; Choudhury, S.R.; Nemade, Harshal B.; Sahambi, J. S.

doi:10.1109/icisip.2005.1529512

Cited by 84 publications

(42 citation statements)

References 4 publications

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“…Another interesting application is the use of EOG-based switches in a hospital alarm system which provide immobile patients with a safe and reliable way of signalling an alarm [19].…”

Section: Related Workmentioning

confidence: 99%

Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography

Bulling

Ward

Gellersen

et al. 2008

Lecture Notes in Computer Science

106

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Abstract. In this work we analyse the eye movements of people in transit in an everyday environment using a wearable electrooculographic (EOG) system. We compare three approaches for continuous recognition of reading activities: a string matching algorithm which exploits typical characteristics of reading signals, such as saccades and xations; and two variants of Hidden Markov Models (HMMs) -mixed Gaussian and discrete. The recognition algorithms are evaluated in an experiment performed with eight subjects reading freely chosen text without pictures while sitting at a desk, standing, walking indoors and outdoors, and riding a tram. A total dataset of roughly 6 hours was collected with reading activity accounting for about half of the time. We were able to detect reading activities over all subjects with a top recognition rate of 80.2% (71.0% recall, 11.6% false positives) using string matching. We show that EOG is a potentially robust technique for reading recognition across a number of typical daily situations.

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“…Another interesting application is the use of EOG-based switches in a hospital alarm system which provide immobile patients with a safe and reliable way of signalling an alarm [19].…”

Section: Related Workmentioning

confidence: 99%

Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography

Bulling

Ward

Gellersen

et al. 2008

Lecture Notes in Computer Science

106

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“…Uninterrupted skin contact is vital for a good signal. Previous studies have also shown that loose skin cells in the relevant areas can affect the signal (Venkataramanan et al, 2005). One major source of data inaccuracies is that even the smallest head movement, talking, sneezing and sometimes even blinking can affect the recorded signal and render the data useless.…”

Section: Discussionmentioning

confidence: 99%

Nature Catches the Eye – Human Gaze Behaviour as a Detector of Spontaneous Visual Attention

Masuch¹,

Einenkel²,

Weninger³

et al. 2018

HEB

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“…The assessment of the oculomotor performance is very helpful in diagnosing of eyes and visual system problems. The cornea-retinal potential creates an electrical field in the front of a head [10]. It changes its orientation as the eyeballs rotate in order to fixate the target of interest in the visual field.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Approach to Saccades Detection in Optokinetic Nystagmus

Czabański

Pander

Przybyła

2014

Advances in Intelligent Systems and Computing

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Abstract. The electronystagmography (ENG) based analysis of the nystagmus provides valuable information about condition of the human vision system. The typical ENG signal corresponding to nystagmus has a form of a saw tooth waveform with slow and fast (saccade) components. The slow component is related to the stimulus while the saccade refers to a rapid reset of eye position. The accurate detection of saccadic eye movements is inevitable when determining the nystagmus characteristic. The paper presents saccades detection method that is based on fuzzy clustering. The proposed procedure is computationally efficient and allows for precise determination of the saccade position in the time domain.

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Biomedical instrumentation based on electrooculogram (eog) signal processing and application to a hospital alarm system

Cited by 84 publications

References 4 publications

Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography

Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography

Nature Catches the Eye – Human Gaze Behaviour as a Detector of Spontaneous Visual Attention

Fuzzy Approach to Saccades Detection in Optokinetic Nystagmus

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