Image processing-aided working posture analysis: I-OWAS

Fığlalı, Nilgün; Cihan, Ahmet; Esen, Hatice; Fığlalı, Alpaslan; Çeşmeci, Davut; Güllü, M. Kemal; Yılmaz, Mustafa

doi:10.1016/j.cie.2015.03.011

Cited by 25 publications

(13 citation statements)

References 47 publications

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“…This method can be applied in many work sectors [67], including healthcare [82][83][84][85][86][87], industry [88][89][90][91][92][93], agriculture and livestock [78][79][80][81]94,95], information technologies [96][97][98][99][100][101], construction [102][103][104][105][106], transport and logistics [107][108][109][110][111][112], and education [113][114][115][116], as well as in other areas, such as supermarkets [117], power line work [118], workers with mental disabilities [119], cooking [120], and electronic or electrical equipment work [121].…”

Section: The Owas Methodsmentioning

confidence: 99%

Assessment of Postural Load during Melon Cultivation in Mediterranean Greenhouses

et al. 2018

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Health and safety at work directly influence the development of sustainable agriculture. In the agricultural sector, many farm workers suffer musculoskeletal disorders caused by forced posture. The objective of this research is to assess working postures during melon cultivation in Almería-type greenhouses. The Ovako Working Posture Assessment System (OWAS) has been used with pictures of the tasks. The variables studied by multiple correspondence analysis were as follows: Subtask, Posture code, Back, Arms, Legs, Load, Risk, and Risk combination. The OWAS analysis showed that 47.57% of the postures were assessed as risk category 2, 14.32% as risk category 3, 0.47% as risk category 4, and the rest as risk category 1. Corrective measures should be implemented immediately, as soon as possible, or in the near future, depending on the risks detected.

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Section: The Owas Methodsmentioning

confidence: 99%

Assessment of Postural Load during Melon Cultivation in Mediterranean Greenhouses

et al. 2018

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“…Researchers have been exploring automatic methods of recognizing ergonomic posture and many assessment guidelines which focus on work-related musculoskeletal disorders (WMSDs). For example, the Rapid Upper Limb Assessment (RULA) and Ovako Working Posture Analyzing System (OWAS) are followed by most researchers for the definition and classification of manual activities and postures [43,44]. Ray and Teizer investigated a method of real-time posture analysis for ergonomics training by using a depth camera [45].…”

Section: Ergonomics Posturementioning

confidence: 99%

Automatic Scaffolding Workface Assessment for Activity Analysis through Machine Learning

et al. 2021

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Scaffolding serves as one construction trade with high importance. However, scaffolding suffers from low productivity and high cost in Australia. Activity Analysis is a continuous procedure of assessing and improving the amount of time that craft workers spend on one single construction trade, which is a functional method for monitoring onsite operation and analyzing conditions causing delays or productivity decline. Workface assessment is an initial step for activity analysis to manually record the time that workers spend on each activity category. This paper proposes a method of automatic scaffolding workface assessment using a 2D video camera to capture scaffolding activities and the model of key joints and skeleton extraction, as well as machine learning classifiers, were used for activity classification. Additionally, a case study was conducted and showed that the proposed method is a feasible and practical way for automatic scaffolding workface assessment.

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“…Binaenaleyh İslâm toplumunda fırkalaşma hareketlerinde zaman itibariyle ilk ortaya çıkan ve kendilerine has birtakım siyasîitikadî düşünceler ortaya koyan grup Hâricîlerdir. 9 1997), 16 Tahkîm olayıyla Hz. Ali saflarındaki bütünlük kaybedilmiş, farklı görüşler ortaya çıkmıştır.…”

Section: Hâri̇cîli̇k Ve İbâzîli̇kunclassified

“…15 Çünkü hurûc/isyan fikrine taraf olanlar Nâfi' ibnu'l-Ezrak'ın (v. 65/685) etrafında toplanmışken, hurûc fikrine karşı çıkan Abdullah b. es-Saffar (h. 1. yy), Abdullah b. İbâz (h. 1. yy) ve bunlarla aynı görüşte olanlar Nâfi' ibnu'l-Ezrak ile beraber hareket etmeyi kabul etmemişlerdir. 16 Nâfi' ibnu'l-Ezrak'ın görüşleri önce kendi taraftarları arasında ihtilafa yol açacaktır. Nitekim onun yanında yer alan Necde b. Âmir el-Hanefî (v.…”

Section: Hâri̇cîli̇k Ve İbâzîli̇kunclassified

“…Bu iki sınıf bilindikten sonra kişinin münafık, âsi, fâsık, zâlim olması fark etmez; bu vasıflarla ölen herkes kâfirdir. 98 Ancak küfür, küfr-i nimet ve küfr-i şirk olarak iki kısma ayrılır. Bu sebeple bir Müslüman büyük günah işlerse artık mümin değil fakat muvahhiddir ve bu kimse küfr-i şirk değil küfr-i nimet içindedir.…”

Section: Mürtekîb-i Kebîreunclassified

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İBÂDÎ TEFSİRLERDE HÂRİCÎ İZLER (Himyânu’z-Zâd Örneği)

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2019

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Image processing-aided working posture analysis: I-OWAS

Cited by 25 publications

References 47 publications

Assessment of Postural Load during Melon Cultivation in Mediterranean Greenhouses

Assessment of Postural Load during Melon Cultivation in Mediterranean Greenhouses

Automatic Scaffolding Workface Assessment for Activity Analysis through Machine Learning

İBÂDÎ TEFSİRLERDE HÂRİCÎ İZLER (Himyânu’z-Zâd Örneği)

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