Novel methodology for blink recognition using video oculography for communicating

Rupanagudi, Sudhir Rao; Vikas, nbspThakkar; Bharadwaj, Vivek C; Manju, .; Dhruva, Neil; Sowmya, K.S.

doi:10.1109/icaee.2014.6838442

Cited by 12 publications

(4 citation statements)

References 11 publications

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“…This particular component can be obtained by converting the image obtained to the red chroma component of the YCbCr color model. This conversion is given by (1) based on the ITU-R BT.601 standard [18], [19]. Cr = 0.5*R-0.418688*G-0.08131*B…”

Section: A Color Conversionmentioning

confidence: 99%

A cost effective tomato maturity grading system using image processing for farmers

Rupanagudi¹,

Ranjani²,

Nagaraj³

et al. 2014

2014 International Conference on Contemporary Computing and Informatics (IC3I)

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Maturity grading or in other words classifying the ripeness of a fruit, based on its color or texture, forms a very important process to be carried out by agriculturists and the food processing industry worldwide. Current techniques mainly involve manual inspection, which leads to erroneous classification, which in turn would cause economical losses due to inferior produce entering the market chain. A loss of yield during storage may also occur with this type of classification, since it would lead to wrong expiry date predictions as well. Several methodologies to automate this process exist but involve highly expensive setups and complicated procedures which are not a viable solution, especially for the agriculturists of a developing nation. In this paper we discuss a cost effective maturity grading system for one of the most popular fruit in the world -the tomato. A novel setup utilizing inexpensive material and image processing algorithms to identify the six important stages of tomato ripening have been presented. All algorithms were designed and developed using Simulink, a part of MATLAB 2011b on a 2.5 GHz CPU. An overall 98% accuracy was achieved with respect to maturity grade detection and an execution speed of greater than 7.6 times was obtained in comparison with two other popular methodologies.

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Section: A Color Conversionmentioning

confidence: 99%

A cost effective tomato maturity grading system using image processing for farmers

Rupanagudi¹,

Ranjani²,

Nagaraj³

et al. 2014

2014 International Conference on Contemporary Computing and Informatics (IC3I)

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“…Sudhir et.al , implemented a novel algorithm for the extraction of face , analyze the blinks ,identify the type of the blink and convert the same into speech. The analysis of the blinks were done based on the intensities sclera, edge of the iris , central part of the iris and back to the sclera and the diameter of the iris [2]. Masaru et.al ,has implemented pupil tracking algorithm which determines pupil area by the selection of reliable contour points, verified the same with former frames, evaluated the pupil area detection over obstacles and estimated of pupillary light-reflex parameters like precision, recall and F-measures [3].…”

Section: Literature Reviewmentioning

confidence: 99%

Eye Blink Detection System for Paralyzed Patients

S.,

2020

IJRTE

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Paralysis of an human being is caused due to the degeneration of motor neurons which weakens the muscle, so that it does not allow patient to move, speak, breathe , and loss in the voluntary actions. It is an incurable disease. To understand the feelings of a paralyzed patients Brain wave technique and Electro-oculography techniques were used. These techniques are afflictive, discomfortable and leads to unconsciousness of the paralyzed patient. The real time video oculography system fills the communication gap between the patient and the world. Video Oculography (VOG) is video-based method of measuring the vertical, torsional and horizontal position components of both the eye blinks with the help of small cameras placed in the head-mounted mask .This paper presents different visual technologies, such as eye blink detection, eye center localization and conversion of the eye blink to speech. The video oculography could achieve accuracy of 0.968.

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“…For image processing, we have converted the image to the Cr color model using the method colorconversion(), [6], [5], [7] and then performed erosion and dilation on these images by calling the methods erosion() and dilation() respectively. Erosion and dilation are performed in order to remove the noise/external disturbances in the image.…”

Section: Methodsmentioning

confidence: 99%

“…ALS is characterized by muscle spasticity, and rapidly progressive weakness due to muscle wasting. [6] This results in difficulty speaking, swallowing, and breathing. It became well known in US when it affected a famous basketball player "Lou Gehrig".…”

Section: Introduction 11 Backgroundmentioning

confidence: 99%

Video Oculographic System using Real-Time Video Processing

Gambhir¹,

Boppaiah²,

Subbaiah³

et al. 2015

IJCA

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Video Oculography (VOG) is a non-invasive, video based method of measuring horizontal, vertical and torsion position components of movements of both eyes using a head mounted mask that is equipped with small cameras. There are systems which use various techniques to detect the opening and closing of the eyes. The technique used in our project is simple and not time consuming. Using blinks to select a sentence or word and playing the sentence has not been used widely in the past. In our project we want to implement this and also build a system whose functionality can be extended to serve a variety of applications. In this system, we use a camera to take input from the user. The user blinks in front of the camera. This is taken as a video sequence and then it becomes the input to blink detection and counting code. The number of blinks is thus calculated and the sentence corresponding to this count is played. This system works with minimum specification. This would help the lower economical class. There are several methods which can be used to detect the eyes, the method which we have used in our project reduces the time taken for blink detection and also reduces the cost of the system by a large margin.

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Novel methodology for blink recognition using video oculography for communicating

Cited by 12 publications

References 11 publications

A cost effective tomato maturity grading system using image processing for farmers

A cost effective tomato maturity grading system using image processing for farmers

Eye Blink Detection System for Paralyzed Patients

Video Oculographic System using Real-Time Video Processing

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