scholarly journals Temporal Visual Patterns of Construction Hazard Recognition Strategies

2021 ◽  
Vol 18 (16) ◽  
pp. 8779
Author(s):  
Rui Cheng ◽  
Jiaming Wang ◽  
Pin-Chao Liao
Keyword(s):  
Computer Vision ◽  
Electrical Contact ◽  
Qualitative Comparative Analysis ◽  
Cognitive Strategies ◽  
Cross Sectional ◽  
Search Patterns ◽  
Pattern Information ◽  
Safety Knowledge ◽  
Visual Cognitive ◽  
Hazard Recognition

Visual cognitive strategies in construction hazard recognition (CHR) signifies prominent value for the development of CHR computer vision techniques and safety training. Nonetheless, most studies are based on either sparse fixations or cross-sectional (accumulative) statistics, which lack consideration of temporality and yielding limited visual pattern information. This research aims to investigate the temporal visual search patterns for CHR and the cognitive strategies they imply. An experimental study was designed to simulate CHR and document participants’ visual behavior. Temporal qualitative comparative analysis (TQCA) was applied to analyze the CHR visual sequences. The results were triangulated based on post-event interviews and show that: (1) In the potential electrical contact hazards, the intersection of the energy-releasing source and wire that reflected their interaction is the cognitively driven visual area that participants tend to prioritize; (2) in the PPE-related hazards, two different visual strategies, i.e., “scene-related” and “norm-guided”, can usually be generalized according to the participants’ visual cognitive logic, corresponding to the bottom-up (experience oriented) and top-down (safety knowledge oriented) cognitive models. This paper extended recognition-by-components (RBC) model and gestalt model as well as providing feasible practical guide for safety trainings and theoretical foundations of computer vision techniques for CHR.

Accommodative and binocular disorders in preteens with computer vision syndrome: a cross‐sectional study

2020 ◽  
Author(s):  
Concepción De‐Hita‐Cantalejo ◽  
Ángel García‐Pérez ◽  
José‐María Sánchez‐González ◽  
Raúl Capote‐Puente ◽  
María Carmen Sánchez‐González
Keyword(s):  
Computer Vision ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Computer Vision Syndrome

scholarly journals Comparison of sun safety knowledge and behavior of Hispanic and non-Hispanic mothers in Miami: A cross-sectional survey

2016 ◽  
Vol 74 (2) ◽  
pp. 385-387 ◽  
Author(s):  
Heather B. Barkin ◽  
Samantha B. Saltz ◽  
Joshua D. Fox ◽  
Katherine L. Baquerizo Nole ◽  
Gazelle Rouhani ◽  
...  
Keyword(s):  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Sun Safety ◽  
Hispanic Mothers ◽  
And Behavior ◽  
Safety Knowledge

scholarly journals SLCV–a supervised learning—computer vision combined strategy for automated muscle fibre detection in cross-sectional images

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7053
Author(s):  
Anika Rettig ◽  
Tobias Haase ◽  
Alexandr Pletnyov ◽  
Benjamin Kohl ◽  
Wolfgang Ertel ◽  
...  
Keyword(s):  
Computer Vision ◽  
Supervised Learning ◽  
Muscle Fibre ◽  
Cross Sections ◽  
Reconstruction Error ◽  
Muscle Fibres ◽  
Dice Similarity Coefficient ◽  
Cross Sectional ◽  
Staining Methods ◽  
Combined Strategy

Muscle fibre cross-sectional area (CSA) is an important biomedical measure used to determine the structural composition of skeletal muscle, and it is relevant for tackling research questions in many different fields of research. To date, time consuming and tedious manual delineation of muscle fibres is often used to determine the CSA. Few methods are able to automatically detect muscle fibres in muscle fibre cross-sections to quantify CSA due to challenges posed by variation of brightness and noise in the staining images. In this paper, we introduce the supervised learning-computer vision combined pipeline (SLCV), a robust semi-automatic pipeline for muscle fibre detection, which combines supervised learning (SL) with computer vision (CV). SLCV is adaptable to different staining methods and is quickly and intuitively tunable by the user. We are the first to perform an error analysis with respect to cell count and area, based on which we compare SLCV to the best purely CV-based pipeline in order to identify the contribution of SL and CV steps to muscle fibre detection. Our results obtained on 27 fluorescence-stained cross-sectional images of varying staining quality suggest that combining SL and CV performs significantly better than both SL-based and CV-based methods with regards to both the cell separation- and the area reconstruction error. Furthermore, applying SLCV to our test set images yielded fibre detection results of very high quality, with average sensitivity values of 0.93 or higher on different cluster sizes and an average Dice similarity coefficient of 0.9778.

scholarly journals Computer Vision Syndrome Prevalence and Ocular Sequelae among Medical Students: A University-Wide Study on a Marginalized Visual Security Issue

2021 ◽  
Vol 15 (1) ◽  
pp. 156-170
Author(s):  
Mohammed Iqbal ◽  
Hosam Elzembely ◽  
Ahmed Elmassry ◽  
Mervat Elgharieb ◽  
Ahmed Assaf ◽  
...  
Keyword(s):  
Computer Vision ◽  
Medical Students ◽  
Anterior Segment ◽  
Multivariate Logistic Regression Analysis ◽  
Risk Groups ◽  
Security Issue ◽  
Cross Sectional ◽  
Ophthalmic Examination ◽  
Frequent Use ◽  
Computer Vision Syndrome

Introduction: This study aimed to discover and document the potential of visual and ocular sequelae of computer vision syndrome (CVS) among medical students. Methods: This cross-sectional case-control study was conducted on medical students (n=4030) of five universities in Egypt. All students completed a specially designed and validated CVS questionnaire survey (CVS-F3). Students with ≥5 CVS symptoms constituted a risk group (n=352), while students with 1-4 CVS symptoms constituted a low-symptoms group (n=3067). Students from the control and risk groups were examined using objective methods, such as visual acuity, subjective refraction, dry eye disease tests, and anterior segment and fundus examinations. Students who complained of visual blur underwent multifocal electroretinography mfERG examinations (mfERG group). Results: The CVS-F3 indicated that 84.8% of students had complaints that might be related to CVS, however, our ophthalmic examination group revealed only a 56% CVS prevalence rate. The most common single screen type used by 70.4% of students was the smartphone, and the most common complaint was headache (50.2%). Multivariate logistic regression analysis revealed that CVS was significantly associated with increased screen-hours, including >2 screen-hours daily (odds ratio [OR], 2.48; P<0.0001), >2 screen-hours at night (OR, 1.79; P=0.003), and ≥3 screen-years (OR, 1.69; P=0.006). In the mfERG group, 37% demonstrated reduced amplitudes of mfERG rings and quadrants, indicating reduced foveal responses. Conclusion: CVS-questionnaires overestimate the true CVS prevalence and sequelae, which could be accurately detected by objective ophthalmic examination. Smartphones primarily caused CVS among students, with CVS severity increasing in correlation with shorter eye-to-screen distance and frequent use. Contact lens wearing doubled the risk of CVS development and augmented its severity. CVS might affect macular integrity with screen-induced foveal dysfunction. Clinical Trials Registration: PACTR201811618954630.

scholarly journals A cross sectional study to assess the prevalence and associated factors of computer vision syndrome among engineering students of Hyderabad, Telangana

2018 ◽  
Vol 6 (1) ◽  
pp. 308
Author(s):  
Anupama Pulla ◽  
Asma . ◽  
Nanduri Samyuktha ◽  
Soumya Kasubagula ◽  
Aishwarya Kataih ◽  
...  
Keyword(s):  
Computer Vision ◽  
Engineering Students ◽  
Prolonged Exposure ◽  
Significant Proportion ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Computer Vision Syndrome ◽  
Study Population ◽  
Near Work

Background: Computer vision syndrome is a complex of eye and vision problems related to near work which are experienced due to prolonged computer use. Computers demand near work, for longer duration which increases discomfort of eye and prolonged exposure to the discomfort leads to a cascade of symptoms that can be referred as computer vision syndrome. The aims and objectives of the study were to determine the prevalence of computer vision syndrome among engineering students of Hyderabad, Telangana and to determine the factors related to computer vision syndrome among study population.Methods: A cross sectional study was carried out from March to June 2017 among students of an engineering college in Hyderabad, Telangana. A convenient sample of 300 students was taken and a predesigned, pre tested questionnaire was used to obtain information.Results: Majority of study population were males (56.3%). Around 75.1% of study population were using all the electronic gadgets like computers, laptops and smartphones. The prevalence of computer vision syndrome was found to be 60.3%. Around 46.7% of study population viewed the screen from a distance of 22-40 centimeters.Conclusions: As students pursuing engineering stream are the future IT and Computer software engineers, preventive strategies adopted by them will significantly decrease the burden of computer vision syndrome and improve productivity. In this study a significant proportion of the engineering students were found to be having vision problems, which emphasizes the need to adopt preventive measures to avoid computer vision syndrome. 

scholarly journals PREVALENCE OF COMPUTER VISION SYNDROME AMONG UNDERGRADUATE PHYSICAL THERAPY STUDENTS

2021 ◽  
Vol 10 (2) ◽  
pp. 63-68
Author(s):  
Farah Deeba
Keyword(s):  
Computer Vision ◽  
Physical Therapy ◽  
Screen Time ◽  
Cross Sectional Study ◽  
Blurred Vision ◽  
Visual Rehabilitation ◽  
Cross Sectional ◽  
Ocular Symptoms ◽  
Computer Vision Syndrome ◽  
Physical Therapy Student

BACKGROUND AND AIM Computers and other digital screens have become an integral part of our life. It raises various ocular problems in the user due to excessive screen time, this study aims to determine the frequency of computer vision syndrome (CVS) in population of under graduate physical therapy student. METHODOLOGY This was cross-sectional study conducted at Ziauddin College of Rehabilitation Sciences; Karachi during June 2019 to September 2020.A total number of 340 candidates of age 22 years ± 1.8 including both genders participated in this study. A questionnaire was designed to collect data which was statistically analyzed on SPSS version 20. Whereas descriptive data was calculated as mean, median, mode and standard deviation using graphical representations. RESULTS 88.5% of the students used mobile phones for study purpose out of which 35.3% use it for 4-7 hour and 33% use for 7 to 10 hours a day. The ocular symptoms that students face was burning of eyes (40%), tearing (55%), eye redness (45.3%), diplopia 31.8%, blurred vision (42.9%), eye dryness (23.8%), while extra ocular symptom that was noticed in the study included headache too was (67.9%). CONCLUSION This study showed that most of the students were found to have a CVS thus screen time guide lines and visual rehabilitation must established.

scholarly journals COMPUTER VISION SYNDROME: PREVALENCE AND ASSOCIATED RISK FACTORS AMONG UNDERGRADUATES IN A TERTIARY INSTITUTION IN NORTH WESTERN NIGERIA

2021 ◽  
Vol 15 (1) ◽  
pp. 1-8
Author(s):  
Nwankwo B ◽  
◽  
Mumueh KP ◽  
Olorukooba AA ◽  
Usman NO
Keyword(s):  
Risk Factors ◽  
Computer Vision ◽  
Computer Use ◽  
P Value ◽  
Tertiary Institution ◽  
Blurred Vision ◽  
Cross Sectional ◽  
Computer Vision Syndrome ◽  
Increased Risk ◽  
Associated Risk Factors

Background: Computers and other visual display devices have become essential in the present era and have led to a rise in computer-related health problems. Using computers in homes, universities and other institutions has increased output greatly but has also led to an increased risk of developing Computer vision syndrome (CVS). Objectives: To determine the prevalence and risk factors associated with computer vision syndrome among undergraduates. Methodology: A cross-sectional study was conducted among153 respondents who were selected using a multi-stage sampling technique. A pretested, structured, interviewer-administered questionnaire was used to collect data. SPSS version 23 was used to analyze the data. A Chi-square test was used to determine the relationship between CVS and associated risk factors at a P-value of <0.05. Results: The mean age of respondents was 22.4 ± 3.4 years. The prevalence of CVS in this study was 83 (54.3%). The common symptoms experienced among the respondents were headache (51, 61.4%), eye strain (48, 57.8%) and blurred vision (42, 50.6%). The risk factors significantly associated with CVS in this study were duration of computer use, hours of computer use per day, level of a computer screen and taking breaks during computer use. Conclusion: About half of the students in this study had at least one symptom of CVS. Therefore, awareness of CVS should be created by the institution during which students would be educated on CVS and its prevention.

scholarly journals Food safety knowledge levels of gastronomy/culinary arts students and food workers in Southern Turkey

2021 ◽  
Vol 7 (3) ◽  
pp. 203-215
Author(s):  
Mevhibe Terkuran
Keyword(s):  
Food Safety ◽  
Cross Sectional Study ◽  
Culinary Arts ◽  
Cross Sectional ◽  
Total Food ◽  
Education Status ◽  
Knowledge Levels ◽  
Hygiene Education ◽  
Safety Knowledge ◽  
Food Workers

This research was aimed to analyze the food safety knowledge levels between gastronomy and culinary arts students and food work-ers in the Çukurova Region of Turkey. A total of 155 participants (80 students, 75 food workers) have partici-pated in this cross-sectional study. The overall knowledge scores of food workers and the students were 89.33% and 78.89% respectively, and food workers have more scores in all sections (p<0.001). Hy-giene certification, occupa-tion, and working estab-lishments had a significant association with total food safety scores; however, gender, marital status, age, education level, frequency of hygiene education, work-ing experience, monthly in-come had no significant as-sociation with their scores (p>0.05). A positive correla-tion was found between gender, education status, hygiene certification, and frequency of receiving hy-giene education; but no cor-relation was found between working in any food busi-ness, graduated high schools, and age of the stu-dents (p>0.05). More knowledge gaps of both groups have been found about time-temperature con-trol, holding/storage tem-perature, and cross-contamination. Finally, it is important to measure the reflection of the hygiene training on practices and to make it regular in ensuring food safety.

Sign in / Sign up

Export Citation Format

Share Document