• 제목/요약/키워드: Posture analysis

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An analysis of grip strength for Korean adults (한국성인의 악력특성분석에 관한 연구)

  • 이동춘;장규표
    • Journal of the Ergonomics Society of Korea
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    • v.16 no.1
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    • pp.73-83
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    • 1997
  • It is improtant to get accurate information about the grip strength for designing ergonomic grips and handles. It has been known that the excessive and repetitive use of grip force and unnatural posture of the wrist may cause cumulative trauma disorders (CTDs) such as carpal tunnel syndrome, tendrome, tendonitis, DeQuervan's disease, etc. In this paper we have measured the grip strength for sitting and standing posture for Korean adults ; 114 males and 105 females aged from the 20's to above the 50's. And this paper performed statistical analysis for deriving characteristics between grip strength and anthropometric data. The results are as follows ; (1) The maximum grip strength posture is exerted under standing posture with the elbow in full extension (180 .deg. ) for both males and females (2) There is significant difference among posture, sex and right and/or left handedness (3) Grip strength decreases with age for male, but it traces an inverted U curve for female (4) Grip strength has corre- lations with the age, weight, height, BSA, forearm length, hand length, thickness of wrist, circumference of wrist, and breadth of wrist for males.

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Working Posture Analysis Using OWAS method of Core Wall Construction in High-rise Building (OWAS기법을 활용한 초고층 코어월 공사의 근로자 작업자세 분석)

  • Lee, Junehyuck;Kim, Taehoon;Cho, Hunhee;Kang, Kyung-In
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2016.05a
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    • pp.72-73
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    • 2016
  • Working Posture is an important factor directly connected with quality and productivity of the construction project. In particular, High-rise building construction is required to manage the working posture due to the repetitive task and unfavorable working condition such as high place work, limited space. However existing construction planning of high-rise building construction has a negative effect on the labor's productivity because it is not insufficiently considered for working posture. Therefore the purpose of this study is to suggest a work that needs improvement by analyzing labor's working posture quantitatively using OWAS method. These results would provide the basic information to improve the productivity of the construction project by supporting the construction plan considering the working posture in high-rise building.

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The Effect of Postural Correction and Visual Feedback on Muscle Activity and Head Position Change During Overhead Arm Lift Test in Subjects with Forward Head Posture

  • Xu, Liwen;Hwang, Byoungha;Kim, Teaho
    • The Journal of Korean Physical Therapy
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    • v.31 no.3
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    • pp.151-156
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    • 2019
  • Purpose: This study aimed to investigate the immediate effects of posture correction and real-time visual feedback using a video display on muscle activity and change of head position during overhead arm lift test in individuals with forward head posture. Methods: Fifteen subjects with forward head posture and fifteen normal subjects who volunteered were included in this study. During both groups performed the overhead arm lift test, the muscle activity of the upper trapezius, serratus anterior, sternocleidomastoid, and lower trapezius muscle were measured using electromyography, and head position change was measured using photographs. Then, forward head posture group was asked to perform overhead arm lift test again after posture correction and real-time visual feedback using a video display respectively. One-way analysis of variance (ANOVA) was used to analyze four conditions: pre-test, posture correction, real-time visual feedback, and the control group. Results: The upper trapezius and lower trapezius muscle activity significantly decreased posture correction, real-time visual feedback, and control group than pre-test of forward head posture group (p<0.05). The sternocleidomastoid muscle significantly decreased real-time visual feedback and control group than pre-test of forward head posture group. Head position change significantly decreased three conditions than pre-test of forward head posture group and real-time visual feedback and control group significantly decreased than posture correction. Conclusion: This study recommend for maintaining cervical stability during the overhead arm lift test, postural control using real-time visual feedback is more effective in subjects with forward head posture.

Correlation between Standing Balance and Forward Head Posture in Adolescents (청소년의 전방머리자세와 선 자세 균형간의 상관관계 연구)

  • Lee, Eun-Ju
    • PNF and Movement
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    • v.18 no.1
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    • pp.45-53
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    • 2020
  • Purpose: This study investigated the correlation between standing balance and head-forward posture in adolescents. Methods: The participants in this study were 15 female adolescents. We took photographs of the participants' craniovertebral angle with a digital camera to determine the degree of head-forward posture. Standing balance was evaluated using the 30-second Romberg test of BT4. The measurements were taken on a stable-support surface and on an unstable-support surface using a balance pad. The data measured in this study were analyzed using SPSS version 23.0, and the statistical significance level α was established as 0.05. Pearson correlation coefficient analysis was performed to identify the correlation between the degree of head-forward position of the participants and their balance ability. Results: When we measured 30 seconds of the Romberg test, we observed that, with their eyes open, the participants' head-forward posture and balance were not correlated. However, with their eyes closed, there was a strong correlation between the forward position of the head and the balance ability, which declined as the head position increased. Conclusion: Adolescents with severe head-forward posture exhibited problems with balance in posture control with closed eyes when visual information was not available. It can be inferred that an abnormality occurs in proprioceptor sensation due to their habitual head-forward posture. Education on correct posture and preventive activities should be recommended to improve the health of such adolescents and avoid possible future problems of physical deterioration.

A Study on Sitting Posture Recognition using Machine Learning (머신러닝을 이용한 앉은 자세 분류 연구)

  • Ma, Sangyong;Hong, Sangpyo;Shim, Hyeon-min;Kwon, Jang-Woo;Lee, Sangmin
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.9
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    • pp.1557-1563
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    • 2016
  • According to recent studies, poor sitting posture of the spine has been shown to lead to a variety of spinal disorders. For this reason, it is important to measure the sitting posture. We proposed a strategy for classification of sitting posture using machine learning. We retrieved acceleration data from single tri-axial accelerometer attached on the back of the subject's neck in 5-types of sitting posture. 6 subjects without any spinal disorder were participated in this experiment. Acceleration data were transformed to the feature vectors of principle component analysis. Support vector machine (SVM) and K-means clustering were used to classify sitting posture with the transformed feature vectors. To evaluate performance, we calculated the correct rate for each classification strategy. Although the correct rate of SVM in sitting back arch was lower than that of K-means clustering by 2.0%, SVM's correct rate was higher by 1.3%, 5.2%, 16.6%, 7.1% in a normal posture, sitting front arch, sitting cross-legged, sitting leaning right, respectively. In conclusion, the overall correction rates were 94.5% and 88.84% in SVM and K-means clustering respectively, which means that SVM have more advantage than K-means method for classification of sitting posture.

Correlation between Smartphone Use, Body Composition, Posture, and Muscle Properties of Elementary School Students (초등학생의 스마트폰 사용과 체성분, 자세 및 근 속성에 대한 관계 분석)

  • Park, Sieun;Park, Sookyoung
    • Journal of The Korean Society of Integrative Medicine
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    • v.8 no.3
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    • pp.11-20
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    • 2020
  • Purpose : The purpose of this study was to determine the correlation between smartphone use, body composition, posture and muscle properties of elementary school students. Methods : A total of 22 healthy elementary school students in Daejeon, South Korea, participated in this study with informed consent. Smartphone use was evaluated with Smartphone addiction self-report scale (S-scale) for youth. Body composition (BMI, percent body fat, body fat mass, and skeletal muscle mass) was measured using Inbody. To assess posture, forward head posture and round shoulder posture were measured using Dartfish motion analysis. Muscle properties (muscle tone, stiffness, and elasticity) were measured on the upper trapezius, splenius capitis and sternocleidomastoid muscles using Myoton. To investigate the correlation between the main variables, Pearson correlation analysis was performed. Results : Disturbance of adaptive function, which is one of sub-component of S-scale, had a weak positive correlations with BMI (r=.538, p<.01), and body fat mass (r=.453, p<.05). However, scores of S-scale showed no correlation with posture and muscle properties. The correlation between posture and muscle properties was analyzed, and round shoulder posture revealed a weak positive correlation with respect to stiffness (r=.418, p<.05) and elasticity (r=.502, p<.05) of the sternocleidomastoid muscle. Conclusion : Scores of S-scale demonstrated a weak correlation with body composition (BMI) among elementary school students, whereas S-scale scores were not correlated with the posture and muscle properties. Further research is needed to identify and focus on potential high-risk user groups of elementary students who are more dependent upon smartphones.

Feature Extraction and Classification of Posture for Four-Joint based Human Motion Data Analysis (4개 관절 기반 인체모션 분석을 위한 특징 추출 및 자세 분류)

  • Ko, Kyeong-Ri;Pan, Sung Bum
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.6
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    • pp.117-125
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    • 2015
  • In the modern age, it is important for people to maintain a good sitting posture because they spend long hours sitting. Posture correction treatment requires a great deal of time and expenses with continuous observation by a specialist. Therefore, there is a need for a system with which users can judge and correct their postures on their own. In this study, we collected users' postures and judged whether they are normal or abnormal. To obtain a user's posture, we propose a four-joint motion capture system that uses inertial sensors. The system collects the subject's postures, and features are extracted from the collected data to build a database. The data in the DB are classified into normal and abnormal postures after posture learning using the K-means clustering algorithm. An experiment was performed to classify the posture from the joints' rotation angles and positions; the normal posture judgment reached a success rate of 99.79%. This result suggests that the features of the four joints can be used to judge and help correct a user's posture through application to a spinal disease prevention system in the future.

Effects of Different Sitting Postures on Transverse Abdominis Muscle Thickness and Sitting Balance in Children With Cerebral Palsy (다른 앉은 자세가 뇌성마비 환자의 복횡근 두께와 앉기 균형에 미치는 영향)

  • Yun, Chang-Kyo;Kim, Won-Bok
    • Physical Therapy Korea
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    • v.21 no.3
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    • pp.11-19
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    • 2014
  • The purpose of this study was to investigate the activity of the transverse abdominal muscle resulting from changed posture by measuring the thickness of the transverse abdominal muscle in a supine posture, a slouched sitting posture, and an erect sitting posture. The subjects of the study were 28 patients with cerebral palsy. All their transverse abdominal muscles at the end of inhalation were measured at supine, slouched sitting (S sitting) and erect sitting (E sitting) postures by using ultrasonography, and then their dynamic sitting balance was measured at S sitting and E sitting postures by using BioRescue. For the statistical analysis, the Kruskal-Wallis test and the Wilcoxon signed-rank test were used to compare the differences among each the postures. The results were as follows. The thickness of the transverse abdominal muscle when comparing the supine posture and the S sitting posture showed no statistically significant difference. But the E sitting posture showed a statistically significant difference as compared with the others. In addition, the dynamic sitting balance in comparing the S sitting and E sitting postures showed a significant difference. In conclusion, the E sitting posture has a more positive effect on postural control and balance than generally taking the S sitting posture, for the sitting posture of a patient with cerebral palsy. It is suggested that patients with cerebral palsy mainly experiencing a sedentary life or being in a wheelchair should be seated in the E sitting posture during their daily life, and it may be necessary to continue to monitor and manage the proper E sitting posture.

A study on the human impulse characteristics with the typical shooting posture (주요 사격자세에 따른 인체 충격량 특성 해석)

  • Choi, Young-Jin;Lee, Young-Shin;Han, Kyoo-Hyun;Chae, Je-Uk;Choi, Eui-Jung
    • Proceedings of the KSME Conference
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    • 2004.11a
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    • pp.459-464
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    • 2004
  • The rifle impact of human body affected by the posture of human for rifling. The interaction human-rifle system influence the firing accuracy. In this paper, impact analysis of human model for shooting posture is carried out. ADAMS code and LifeMOD is used in impact analysis of human model and modeling of the human body, respectively. On the shooting, human model is affected by rifle impact during the 0.001 second. Performed simulation time for shooting is 0.1 second. Applied constraint condition to human-rifle system is rotating and spherical condition. As the results, the displacement of rifle and transfer path analysis of impact of human model is presented.

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Development of Measurement Method of Musculoskeletal Load for Construction Workers using Wearable Motion Recognition Sensor (웨어러블 장비를 이용한 건설 근로자 근골격계 부하 측정방안 제시)

  • Pyo, Ki-Youn;Lee, Dong-Min;Cho, Hun-Hee;Kang, Kyung-In
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.05a
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    • pp.123-124
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    • 2019
  • In the labor-intensive construction site, potential threats of the musculoskeletal diseases mainly caused by various repetitive physical tasks, vulnerable environment, and the aging of the labor worker exist. However, quantitative measuring method of construction labor worker's work posture has not been improved yet. This study proposed musculoskeletal measuring method by using wearable motion recognition sensor for quantitative evaluation and analysis of working posture of construction workers. This method is expected to be used as a basic data for posture analysis and prevention construction safety accidents, as well as physical workload and labor productivity analysis by labor work type.

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