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논문 기본 정보

자료유형
학술대회자료
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대한인간공학회 대한인간공학회 학술대회논문집 대한인간공학회 2011 춘계학술대회 및 워크샵
발행연도
2011.5
수록면
27 - 36 (10page)

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초록· 키워드

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The purpose of this study was to compare workload level at each lower limbs posture and suggest the ergonomic workstation guideline for working period by evaluating imbalanced lower limbs postures from the physiological and psychophysical points of view. Ten male subjects participated in the experiment. Subjects were asked to maintain three different lower limbs postures such as standing, squatting and bending with 3 different working conditions which are balanced floor with no scaffold, imbalanced floor with 10cm height of scaffold and imbalanced floor with 20cm height of scaffold. EMG data for four muscle groups (Retus Femoris, Vastus Lateralis, Tibialis Anterior, Gastrocnemius) from each lower limbs posture were collected for 20 seconds every 2 minutes during eight minutes sustaining tasks. Subjects were also asked to report their discomfort ratings of body parts such as upper legs and lower legs. The ANOVA results showed that the most EMG root mean square(RMS) values and the discomfort ratings(CR-10 Rating Scale) had statistically significant effect(p<0.05) by lower limbs postures and working time. The correlation analysis was conducted between EMG data and discomfort ratings, and also prediction models for discomfort rate for each posture were developed using physical condition, working time and scaffold height. We thus strongly recommend that no more than 6 minutes should not be allowed to work for standing and squatting postures and no more than 4 minutes are not allowed for bending posture. The results of this study could be used for the design and assessment for working environment and methods and could be useful data for suggesting ergonomic guidelines for the lower limb postures such as squatting, bending in the working fields. Also, the results could be a basic data for prevention of fatigue and pain and for the establishment of quantitative assessment models.

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ABSTRACT
1. Introduction
2. Method
3. Results
4. Conclusion
References

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