A Fast and Effective System for Analysis of Optokinetic Waveforms with a Low-Cost Eye Tracking Device

Tsai, Chong-Bin; Hung, Wei-Yu; Hsu, Wei‐Yen

doi:10.3390/healthcare9010010

Cited by 3 publications

(3 citation statements)

References 21 publications

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“…Many applications and platforms based on health detection have been put forth successively in recent years [10,11], and the application of intelligent devices to health detection is becoming increasingly universal [12]. Remote healthcare applications currently available focus mainly on auxiliary applications to assist users in everyday life [13,14] and support applications to monitor patients' physical conditions and provide them with health advice [15,16]. However, remote healthcare applications have several limitations, including privacy concerns during data transmission and differences in the functions of professional healthcare equipment.…”

Section: Introductionmentioning

confidence: 99%

A Fast and Effective System for Detection of Neonatal Jaundice with a Dynamic Threshold White Balance Algorithm

Hsu

Cheng

2021

Healthcare

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Neonatal jaundice is caused by high levels of bilirubin in the body, which most commonly appears within three days of birth among newborns. Neonatal jaundice detection systems can take pictures in different places and upload them to the system for judgment. However, the white balance problem of the images is often encountered in these detection systems. The color shift images induced by different light haloes will result in the system causing errors in judging the images. The true color of images is very important information when the detection system judges the jaundice value. At present, most systems adopt specific assumption methods and rely on color charts to adjust images. In this study, we propose a novel white balance method with dynamic threshold to screen appropriate feature factors at different color temperatures iteratively and make the adjustment results of different images close to the same. The experimental results indicate that the proposed method achieves superior results in comparison with several traditional approaches.

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Section: Introductionmentioning

confidence: 99%

A Fast and Effective System for Detection of Neonatal Jaundice with a Dynamic Threshold White Balance Algorithm

Hsu

Cheng

2021

Healthcare

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“…The eye-tracking devices and facial expression recognition systems are still in development, with current models offering just a few practical facilities compared to the theoretical studies [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. In [16], Lee Y et al propose an extended method to determine the measurement of saccadic eye movement using an eye-tracking module in a virtual reality head-mounted display.…”

Section: Introductionmentioning

confidence: 99%

“…The alteration of the nervous system causes the cases of significant motor disabilities; therefore, many people suffering from such disabilities have strabismus or Nystagmus type vision deficiencies. In [ 18 ], Tsai, C et al developed a novel, fast and effective system and combined it with a low-cost eye-tracking device to quantitatively measure optokinetic Nystagmus (OKN) eye movement. In addition, Syahbana et al designed a pupil detection method using a pattern matching approach that approximates the pupil using a Mexican hat-type ellipse pattern [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

The Design of an Intelligent Robotic Wheelchair Supporting People with Special Needs, Including for Their Visual System

et al. 2021

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The paper aims to study the applicability and limitations of the solution resulting from a design process for an intelligent system supporting people with special needs who are not physically able to control a wheelchair using classical systems. The intelligent system uses information from smart sensors and offers a control system that replaces the use of a joystick. The necessary movements of the chair in the environment can be determined by an intelligent vision system analyzing the direction of the patient’s gaze and point of view, as well as the actions of the head. In this approach, an important task is to detect the destination target in the 3D workspace. This solution has been evaluated, outdoor and indoor, under different lighting conditions. In order to design the intelligent wheelchair, and because sometimes people with special needs also have specific problems with their optical system (e.g., strabismus, Nystagmus) the system was tested on different subjects, some of them wearing eyeglasses. During the design process of the intelligent system, all the tests involving human subjects were performed in accordance with specific rules of medical security and ethics. In this sense, the process was supervised by a company specialized in health activities that involve people with special needs. The main results and findings are as follows: validation of the proposed solution for all indoor lightning conditions; methodology to create personal profiles, used to improve the HMI efficiency and to adapt it to each subject needs; a primary evaluation and validation for the use of personal profiles in real life, indoor conditions. The conclusion is that the proposed solution can be used for persons who are not physically able to control a wheelchair using classical systems, having with minor vision deficiencies or major vision impairment affecting one of the eyes.

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An Effective Algorithm to Analyze the Optokinetic Nystagmus Waveforms from a Low-Cost Eye Tracker

2022

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Objective: Most neurological diseases are usually accompanied by changes in the oculomotor nerve. Analysis of different types of eye movements will help provide important information in ophthalmology, neurology, and psychology. At present, many scholars use optokinetic nystagmus (OKN) to study the physiological phenomenon of eye movement. OKN is an involuntary eye movement induced by a large moving surrounding visual field. It consists of a slow pursuing eye movement, called “slow phase” (SP), and a fast re-fixating saccade eye movement, called “fast phase” (FP). Non-invasive video-oculography has been used increasingly in eye movement research. However, research-grade eye trackers are often expensive and less accessible to most researchers. Using a low-cost eye tracker to quantitatively measure OKN eye movement will facilitate the general application of eye movement research. Methods & Results: We design an analytical algorithm to quantitatively measure OKN eye movements on a low-cost eye tracker. Using simple conditional filtering, accurate FP positions can be obtained quickly. The high-precision FP recognition rate is of great help for the subsequent calculation of eye movement analysis parameters, such as mean slow phase velocity (MSPV), which is beneficial as a reference index for patients with strabismus and other eye diseases. Conclusions: Experimental results indicate that the proposed method achieves faster and better results than other approaches, and can provide an effective algorithm to calculate and analyze the FP position of OKN waveforms.

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A Fast and Effective System for Analysis of Optokinetic Waveforms with a Low-Cost Eye Tracking Device

Cited by 3 publications

References 21 publications

A Fast and Effective System for Detection of Neonatal Jaundice with a Dynamic Threshold White Balance Algorithm

A Fast and Effective System for Detection of Neonatal Jaundice with a Dynamic Threshold White Balance Algorithm

The Design of an Intelligent Robotic Wheelchair Supporting People with Special Needs, Including for Their Visual System

An Effective Algorithm to Analyze the Optokinetic Nystagmus Waveforms from a Low-Cost Eye Tracker

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