• Science of Emotion and Sensibility
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• v.14 no.4
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• pp.653-662
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• 2011

As technology in 3D industry has rapidly advanced, a lot of studies primarily focusing on visual function and cognition have become vigorous. However, studies on effect of 3D visual fatigue on autonomic nervous system have not less been conducted. Thus, this study was to identify and determine the effect that might have a negative influence on sympathetic nervous system, parasympathetic nervous system, and cardiovascular system. Fifteen undergraduates (female: 9, mean age: $22.53{\pm}2.55$) participated and were sat on a comfortable chair, viewing a 3D content during about 1 hour. Cardiac responses like SDNN(standard deviation of RR intervals), RMS-SD(root mean squared successive difference), and HF/LF ratios extracted from the measured PPG(Photo-PlethysmoGram) before viewing 3D were compared to those after viewing 3D. The results showed that after subjects watched the 3D, responses in sympathetic nervous system and parasympathetic nervous system were activated and deactivated, respectively relative to those before watching the 3D. The results showed that HF/LF ratio, Ln(LF), and Ln(HF) after viewing 3D were significantly reduced relative to those before viewing 3D. No significant effects were observed in SDNN and RMS-SD. Results obtained in this study showed that visual fatigue induced by watching 3D adversely influenced autonomic nervous system, and thereby reduced heart rate variability causing sympathetic nervous acceleration.

• Sleep Medicine and Psychophysiology
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• v.9 no.2
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• pp.122-126
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• 2002

Objectives: The purpose of this study is to investigate the effects of the 37-hour sleep deprivation on visual discrimination using the Cybernetic Flicker Fusion Analyzer (FLIMK) and to see the correlation between this finding and various subjective scale scores. Methods: Twenty six subjects (20 men 6 women, $24.50{\pm}1.45$ years of age) participated in this study. Subjects remained awake for 37 hours under continuous surveillance. In the morning and evening of two study days, the FLIMK and the self-reporting scale of sleepiness, fatigue, anxiety and mood states were instituted. Results: In FLIMK, the flicker fusion threshold was significantly decreased after sleep deprivation (F=7.66, p=0.01). The number of trials (responses) before reaching fusion frequency threshold was significantly increased after sleep deprivation (F=13.16, p=0.001). The reduction of fusion frequency was correlated with the increase of sleepiness and fatigue (p<0.05), and the number of the trials was correlated with the scores of negative mood, anxiety, and fatigue (p<0.05). Conclusions: These results suggest that 37 hour total sleep deprivation cause the decrement in visual discrimination. The decrease of the fusion frequency after sleep deprivation was correlated with sleepiness and fatigue. Further study is needed to enlighten the biological mechanism of the decrement in visual function after sleep deprivation.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.8 no.3
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• pp.302-313
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• 2001

Purpose: To identify characteristics of chronic fatigue, difference between the duration of fatigue and characteristics of chronic fatigue, and association between chronic fatigue and related factors in adults. Method: The subjects for this study were 180 adults who had experienced fatigue for over one month The measurement tools were the Revised Fatigue Scale by Chalder et al. (1993), the Visual Analogue Scale-energy developed by Lee et al. (1991), the BEPSI (Brief Encounter Psychosocial Instrument) by Frank & Zyzanski (1988), Zung's self rating depression scale (1965) and life style items including exercise sleep, drinking smoking and diet as developed by the researchers. Results : Those who complained of fatigue over six months experienced higher disturbances in their daily life compared to those who had suffered from fatigue less than six months. There were a significant correlation between severity of fatigue and depression (r=.46, p<.001), stress (r=.41, p<.001), and sleep (r=.20, p<.01) Statistically significant relationships were found between severity of fatigue and amount of exercise per week (F=3.79. p<.05) disturbed sleep (t=-2.66, p<.01), number of times awakened during the night (F=3.48, p<.05) types of drinking (F=2.65, p<.05), and diet regularity (F=5.83, p<.01). The construction of a multiple regression model revealed an adjusted $R^2$ of .27 with the depression score serving the major predictor variables for severity of fatigue. Men and people in the younger age group were more energetic than women and those in other age groups. Also married people experienced more fatigue than people who were single. divorced or separated. Conclusion: In nursing interventions for fatigue, medical personnel should consider sociodemographic characteristics of the clients, ways to reduce of stress and counter disturbances in daily life and develop strategies for a health promoting life style.

• Korean Journal of Applied Biomechanics
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• v.21 no.3
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• pp.353-359
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• 2011

The purpose of this study was to investigate the effects of exercise-induced fatigue and blocked vision on postural control during upright stance in elderly women. The study population included 22 women who were aged over 65 years, had no sustained orthopedic damage within the last 6 months, and had been randomly recruited. The results were analyzed with respect to the mediolateral and anteroposterior factors for the center of pressure. The exercise-induced fatigue and the absence of visual information increased the anteroposterior and mediolateral velocity for center of pressure. This means that the elderly women could control their posture through many sways. In conclusion, the exercise-induced fatigue and the blocked vision decreased ability of the postural control in elderly women. Further research on the change of postural control in relation to the types of exercise-induced fatigue and the levels of muscular fatigue is expected.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.23
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• pp.10199-10207
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• 2015

Background: This study was planned in an attempt to develop scales for the assessment of fatigue in pediatric oncology patients aged 7-12 as well as for their parents. Materials and Methods: In collecting the study data, we used the Child and Parent Information Form, Visual Fatigue Scale, Scale for the Assessment of Fatigue in Pediatric Oncology Patients Aged 7-12 and the Scale for the Assessment of Fatigue in Pediatric Oncology Patients Aged 7-12 for Parents. We also used Pearson correlation analysis, the Cronbach Alpha coefficient, Factor Analysis and ROC Analysis for the study data. Results: In this study, the total Cronbach alpha value of the parent form was 0.95, the total factor load was 0.52-0.95 and the total variance being explained was 85.7%. The cutoff point of the parent form was 82 points. The total Cronbach alpha value of the child form was 0.98, the total factor load was 0.71-0.94 and the total variance being explained was 84.7%. The cutoff point of the child form was 75 points. Conclusions: This study suggests that our scales for the assessment of fatigue in pediatric oncology patients aged 7-12 and their parents are valid and reliable instruments.

• Textile Coloration and Finishing
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• v.26 no.3
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• pp.181-186
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• 2014

This paper surveys improvement characteristics in muscle fatigue with bio-activity material imbedded fabric. For this purpose, the subjects wear the garment which is covered by bio-activity materials all over every day during 2 weeks of experimental period. After 2 weeks period, VAS(Visual Analogue Scale) index evaluation regarding muscle fatigue and pain has been conducted in comparison between before wearing and after so that we can evaluate the effect on muscle fatigue improvement. The effectiveness survey for testing products consists of improvement on krunkle, muscle fatigue and exercise capacity. As a result, 100% of test subject group completes a questionnaire with positive answer as above normal in every question. In addition the preference of testing products is researched in wearing comfort, activity and convenience. And it is marked above normal by 100% of test subject group as well. Moreover any kind of unusual skin reaction has not been detected in safety evaluation. Therefore this testing products is being judged as a beneficent product for improvement on muscle fatigue without any skin irritation.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.24 no.9 s.180
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• pp.2283-2291
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• 2000

The neural network method is applied to automatically measure the crack opening load under random loading. The crack opening results obtained are compared with the visual measured results. Fatigue crack growth under random loading is predicted using the crack opening data measured by the neural network method, and the prediction results are compared with experimental ones. It is found that the neural network method can be successfully applied to consistently measure the crack opening load under random loading and also gives some results different from the results by visual measurement.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.3
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• pp.15-28
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• 2019

Artificial intelligence is evolving rapidly in the ICT field, smart convergence media system and content industry through the fourth industrial revolution, and it is evolving very rapidly through Big Data. In this paper, we propose a face recognition method based on object recognition based on object recognition through artificial intelligence. In this method, Were experimented and studied through the object recognition technique of artificial intelligence. In the conventional 3D image field, general research on object recognition has been carried out variously, and researches have been conducted on the side effects of visual fatigue and dizziness through 3D image. However, in this study, we tried to solve the problem caused by the quantitative difference between object recognition and object recognition for human factor algorithm that measure visual fatigue through cognitive function, morphological analysis and object recognition. Especially, The new method of computer interaction is presented and the results are shown through experiments.

• ETRI Journal
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• v.26 no.6
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• pp.597-604
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• 2004

In stereoscopic television, there is a trade-off between visual comfort and 3-dimensional (3D) impact with respect to the baseline-stretch of a 3DTV camera. It is necessary to adjust the baseline-stretch at an appropriate the distance depending on the contents of a scene if we want to obtain a subjectively optimal quality of an image. However, it is very hard to obtain a small baseline-stretch using commercially available cameras of broadcasting quality where the sizes of the lens and CCD module are large. In order to overcome this limitation, we attempt to freely control the baseline-stretch of a stereoscopic camera by synthesizing the virtual views at the desired location of interval between two cameras. This proposed technique is based on the stereo matching and view synthesis techniques. We first obtain a dense disparity map using a hierarchical stereo matching with the edge-adaptive multiple shifted windows. Then, we synthesize the virtual views using the disparity map. Simulation results with various stereoscopic images demonstrate the effectiveness of the proposed technique.

• IEIE Transactions on Smart Processing and Computing
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• v.2 no.5
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• pp.255-265
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• 2013

3DTV is expected to be a promising next-generation broadcasting service. On the other hand, the visual discomfort/fatigue problems caused by viewing 3D videos have become an important issue. This paper proposes a perceptual quality assessment metric for a stereoscopic video (SV-PQAM). To model the SV-PQAM, this paper presents the following features: temporal variance, disparity variation in intra-frames, disparity variation in inter-frames and disparity distribution of frame boundary areas, which affect the human perception of depth and visual discomfort for stereoscopic views. The four features were combined into the SV-PQAM, which then becomes a no-reference stereoscopic video quality perception model, as an objective quality assessment metric. The proposed SV-PQAM does not require a depth map but instead uses the disparity information by a simple estimation. The model parameters were estimated based on linear regression from the mean score opinion values obtained from the subjective perception quality assessments. The experimental results showed that the proposed SV-PQAM exhibits high consistency with subjective perception quality assessment results in terms of the Pearson correlation coefficient value of 0.808, and the prediction performance exhibited good consistency with a zero outlier ratio value.