Effects of Electrochromic Glass on Computer Vision Syndrome

Occupant surveys were conducted in 4 office buildings, 2 with traditional non-tinted low-e glass (LeG) and 2 with electrochromic glass (EC). 106 employees working in these buildings volunteered to participate in the study. Results showed that subjective reports of overall ambient lighting conditions were comparable in the buildings. However, EC optimizes daylight and reduces sunlight glare, and significantly more workers sat close to the windows in the EC buildings compared to the LeG buildings. Workers in the EC office buildings reported significantly better daylight, significantly less adverse glare, and significantly fewer symptoms of computer vision syndrome than those in the LeG buildings.

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Association between Poor Ergophthalmologic Practices and Computer Vision Syndrome among University Administrative Staff in Ghana

Journal of Environmental and Public Health ◽

10.1155/2020/7516357 ◽

2020 ◽

Vol 2020 ◽

pp. 1-8

Author(s):

Samuel Bert Boadi-Kusi ◽

Sampson Listowell Abu ◽

George Oppong Acheampong ◽

Peter Osei-Wusu Adueming ◽

Emmanuel Kwasi Abu

Keyword(s):

Computer Vision ◽

Health Examination ◽

Administrative Staff ◽

Cape Coast ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Lighting Conditions ◽

Computer Vision Syndrome ◽

Computer Workstation ◽

The University

Aim. The aim of this study was to assess the prevalence of computer vision syndrome (CVS) and its associated ergonomic factors among university administrative staff in Ghana. Methods. A cross-sectional survey was conducted among 200 administrative staff of the University of Cape Coast. The procedure included a self-administered questionnaire, comprehensive ocular health examination, and assessment of computer workstation and lighting conditions. The prevalence of CVS among the subjects and the association between CVS and ergonomic practices were determined. Results. The mean age of the study sample was 31.0 ± 4.7 years, and the majority were males (56.0%). The prevalence of CVS was among 103 (51.5%)participants. Over a third of the respondents used computers for 6 or more hours daily. Significant association was found between CVS and poor ergonomic practices (χ = 15.175, p=0.001). Conclusion. In addition to poor ergonomic office setup, university administrative staff spend several hours behind computer screens leading to the development of CVS. Increased awareness of CVS and adherence to recommended ergonomic practices are necessary to reduce the prevalence of CVS and ultimately enhance work satisfaction and productivity.

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Level of Awareness, Perception And Uptake Of Interventions For Computer Vision Syndrome Among University Students, Maseno, Western Kenya

10.21203/rs.2.15734/v1 ◽

2019 ◽

Author(s):

Shadrack Muma ◽

Dickens Omondi Aduda ◽

Patrick Onyango

Keyword(s):

Public Health ◽

Computer Vision ◽

University Students ◽

Early Recognition ◽

Computer Users ◽

Health Concern ◽

Public Health Concern ◽

Awareness Campaigns ◽

Computer Vision Syndrome ◽

Study Results

Abstract Background Computer vision syndrome is a multi-factorial condition of the eye that results in symptoms of stress and discomfort among computer users. It causes chronic vision-related morbidity and reduced work productivity. Ninety percent and 75% of computer users globally and in Africa respectively suffer from CVS. It is an insidious chronic condition that however, has hitherto received little attention, both by health providers as well as computer users. Also, it is likely to be under diagnosed as it mimics other eye conditions. The risk factors for CVS include prolonged period of electronic device use and glare. In Kenya, lack of awareness of the disease is a key barrier to early detection, health seeking and use of interventions. The burden of CVS and how much computer users in learning institutions are aware of and perceive CVS remains unknown.Methods This study adopted cross-sectional study design to determine the level of awareness, perception of CVS, uptake of preventive measures by students at Maseno University. In total, we administered questionnaires to 384 randomly selected students.Results The mean age was 19.5 years (SD= 0.747) with 18-24 years as the modal age group. Females comprised 51.3% (n=197) and males 48.7%. Participants who had at least 5 symptoms of CVS were 60.4% (n= 232). Awareness level was classified as low in 47.8%; medium level in 38.2% and high level in 13.8% of respondents . Sixty percent of respondents did not perceive CVS as an issue of public health concern compared to 39.8% who perceived CVS as an issue of public health concern ( p=0.001). In terms of precautionary measures, only duration of computer use (46.2%, p = 0.001 ) were practiced. The study results show that at least 3 out of 5 students have at least five symptoms of CVS, whereas awareness of the disease and related risks remain low.Conclusion The results of the present study indicate that CVS is a less recognized health concern among university students. Consequently, screening for the disease sensitization of students on CVS and awareness campaigns to improve early recognition and diagnosis of disease as well as uptake of interventions is recommended.

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Design Guidelines of a Computer-Based Intervention for Computer Vision Syndrome: Focus Group Study and Real-World Deployment

Journal of Medical Internet Research ◽

10.2196/22099 ◽

2021 ◽

Vol 23 (3) ◽

pp. e22099

Author(s):

Youjin Hwang ◽

Donghoon Shin ◽

Jinsu Eun ◽

Bongwon Suh ◽

Joonhwan Lee

Keyword(s):

Computer Vision ◽

Real World ◽

User Participation ◽

Design Guidelines ◽

Interface Element ◽

Prototype System ◽

Interface Elements ◽

Computer Vision Syndrome ◽

Study Results ◽

Computer Based

Background Prolonged time of computer use increases the prevalence of ocular problems, including eye strain, tired eyes, irritation, redness, blurred vision, and double vision, which are collectively referred to as computer vision syndrome (CVS). Approximately 70% of computer users have vision-related problems. For these reasons, properly designed interventions for users with CVS are required. To design an effective screen intervention for preventing or improving CVS, we must understand the effective interfaces of computer-based interventions. Objective In this study, we aimed to explore the interface elements of computer-based interventions for CVS to set design guidelines based on the pros and cons of each interface element. Methods We conducted an iterative user study to achieve our research objective. First, we conducted a workshop to evaluate the overall interface elements that were included in previous systems for CVS (n=7). Through the workshop, participants evaluated existing interface elements. Based on the evaluation results, we eliminated the elements that negatively affect intervention outcomes. Second, we designed our prototype system LiquidEye that includes multiple interface options (n=11). Interface options included interface elements that were positively evaluated in the workshop study. Lastly, we deployed LiquidEye in the real world to see how the included elements affected the intervention outcomes. Participants used LiquidEye for 14 days, and during this period, we collected participants’ daily logs (n=680). Additionally, we conducted prestudy and poststudy surveys, and poststudy interviews to explore how each interface element affects participation in the system. Results User data logs collected from the 14 days of deployment were analyzed with multiple regression analysis to explore the interface elements affecting user participation in the intervention (LiquidEye). Statistically significant elements were the instruction page of the eye resting strategy (P=.01), goal setting of the resting period (P=.009), compliment feedback after completing resting (P<.001), a mid-size popup window (P=.02), and CVS symptom-like effects (P=.004). Conclusions Based on the study results, we suggested design implications to consider when designing computer-based interventions for CVS. The sophisticated design of the customization interface can make it possible for users to use the system more interactively, which can result in higher engagement in managing eye conditions. There are important technical challenges that still need to be addressed, but given the fact that this study was able to clarify the various factors related to computer-based interventions, the findings are expected to contribute greatly to the research of various computer-based intervention designs in the future.

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COMPUTER VISION SYNDROME: REVIEW AND METHODS FOR ASSESSMENT

Journal of IMAB - Annual Proceeding (Scientific Papers) ◽

10.5272/jimab.2021272.3823 ◽

2021 ◽

Vol 27 (2) ◽

pp. 3823-3825

Author(s):

Panayot N. Nikolov ◽

Keyword(s):

Computer Vision ◽

Dry Eye ◽

Health And Safety ◽

Tear Film ◽

Work Conditions ◽

Schirmer Test ◽

Blurred Vision ◽

Computer Vision Syndrome ◽

Study Results ◽

Early Diagnose

Computer vision syndrome (CVS) is a combination of eye and vision problems associated with the use of digital devices. CVS affects the eyesight, visual comfort and occupational productivity of workers due to the different symptoms computer users and staff experience: ocular discomfort, headache, dry eye, blurred vision etc. Aim of the study: To assess the symptoms of CVS in a software company in Varna by subjective and objective tests and prescribe measures for prevention. Materials and methods: 40 participants-31 men and 9 women were distributed with a valid questionnaire regarding common symptoms of CVS. The group was tested with the Schirmer test to measure the tear film quantity. Participants have passed a medical exam by an ophthalmologist before the study. Results: - 11 or 27,5% of the participants in the questionnaire have reached score ≥6 – have CVS - 10 or 25 % of the participants in the Schirmer test have reached results < 5mm. in the tear strip - The gender distribution shows 3 women (33.33%) and 8(25.8%) of men have CVS by questionnaire study and 3(33.33%) of women and 7(22.6%) of men based on Schirmer test have dry eye as asymptom of CVS. Conclusion: The results of the study predispose to further evaluation and tracking of the symptoms of CVS among this occupational group. All of the participants are aware of Ordinance № 7 related to health and safety work conditions with VDT’s and received information regarding the physiological work-rest regime. Occupational risk of CVS can be reduced with early diagnose, assessment and prevention of the symptoms.

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Relationship between Computer Vision Syndrome and A Collection of Musculoskeletal Pain among Frequent Computer Users

Strengthening Hospital Competitiveness to Improve Patient Satisfaction and Better Health Outcomes ◽

10.26911/the6thicph.05.24 ◽

2019 ◽

Author(s):

Hari Peni Julianti ◽

◽

Trilaksana Nugroho ◽

Dea Amarilisa Adespin ◽

Arwinda Nugraheni ◽

...

Keyword(s):

Computer Vision ◽

Musculoskeletal Pain ◽

Computer Users ◽

Computer Vision Syndrome

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Study on Knowledge and Prevalence of Computer Vision Syndrome among Computer Operators in Nobel Medical College Teaching Hospital, Biratnagar, Nepal

Journal of Nobel Medical College ◽

10.3126/jonmc.v9i2.33386 ◽

2020 ◽

Vol 9 (2) ◽

pp. 45-49

Author(s):

Pramod Sharma Gautam ◽

Uday Chandra Prakash ◽

Subreena Dangol

Keyword(s):

Computer Vision ◽

Teaching Hospital ◽

Human Life ◽

College Teaching ◽

Extended Period ◽

Visual Display ◽

Work Place ◽

Medical College ◽

Computer Vision Syndrome ◽

Department Of Ophthalmology

Background: The eye and vision related problems that results from continuous use of computers and other visual display terminals for extended period of time leads to computer vision syndrome. Due to rapid digitalization in human life, the risk of developing it has also increased in many folds. So, with an aim of determining the prevalence and level of awareness of computer vision syndrome among computer users along with their attitude and practices to prevent it, this study was conducted in the office employees who use computer for a considerable period of time. Materials and Methods: A hospital based observational descriptive study was conducted in the out-patient department of Ophthalmology in Nobel Medical College and Teaching Hospital, Biratnagar, where 105 employees working in different work stations of same institution were enrolled. A questionnaire and the clinical findings were used to collect data. Results: About 80% of the employees were using computer for about (8-11) hours per day. Prevalence of computer vision syndrome noted was (92.4%) with low level of knowledge (85.7%) about it. About 45% of them wore glasses for their refractive errors but attitude and practices in work place to prevent the bad effects of using visual display terminals were found to be lacking (53.3%). Burning sensation in the eye, headache, ocular irritation and itching and neck, shoulder or back pain were the common symptoms. Around (60-70)% of the eyes tested positive for dry eye. Conclusion: Lack of awareness of computer vision syndrome and lack of personal protective measures were associated with its high level of prevalence.

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Developing Algorithms for a Berry Recognition System Used in Robotized Harvesting of Garden Strawberry

Elektrotekhnologii i elektrooborudovanie v APK ◽

10.22314/2658-4859-2020-67-1-133-141 ◽

2020 ◽

Vol 67 (1) ◽

pp. 133-141

Author(s):

Dmitriy O. Khort ◽

Aleksei I. Kutyrev ◽

Igor G. Smirnov ◽

Rostislav A. Filippov ◽

Roman V. Vershinin

Keyword(s):

Computer Vision ◽

Technological Process ◽

Degrees Of Freedom ◽

Computer Control ◽

Recognition System ◽

Raspberry Pi ◽

Laser Sensors ◽

Lighting Conditions ◽

Systems Research ◽

Degree Of Maturity

Technological capabilities of agricultural units cannot be optimally used without extensive automation of production processes and the use of advanced computer control systems. (Research purpose) To develop an algorithm for recognizing the coordinates of the location and ripeness of garden strawberries in different lighting conditions and describe the technological process of its harvesting in field conditions using a robotic actuator mounted on a self-propelled platform. (Materials and methods) The authors have developed a self-propelled platform with an automatic actuator for harvesting garden strawberry, which includes an actuator with six degrees of freedom, a co-axial gripper, mg966r servos, a PCA9685 controller, a Logitech HD C270 computer vision camera, a single-board Raspberry Pi 3 Model B+ computer, VL53L0X laser sensors, a SZBK07 300W voltage regulator, a Hubsan X4 Pro H109S Li-polymer battery. (Results and discussion) Using the Python programming language 3.7.2, the authors have developed a control algorithm for the automatic actuator, including operations to determine the X and Y coordinates of berries, their degree of maturity, as well as to calculate the distance to berries. It has been found that the effectiveness of detecting berries, their area and boundaries with a camera and the OpenCV library at the illumination of 300 Lux reaches 94.6 percent’s. With an increase in the robotic platform speed to 1.5 kilometre per hour and at the illumination of 300 Lux, the average area of the recognized berries decreased by 9 percent’s to 95.1 square centimeter, at the illumination of 200 Lux, the area of recognized berries decreased by 17.8 percent’s to 88 square centimeter, and at the illumination of 100 Lux, the area of recognized berries decreased by 36.4 percent’s to 76 square centimeter as compared to the real area of berries. (Conclusions) The authors have provided rationale for the technological process and developed an algorithm for harvesting garden strawberry using a robotic actuator mounted on a self-propelled platform. It has been proved that lighting conditions have a significant impact on the determination of the area, boundaries and ripeness of berries using a computer vision camera.

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