Innovative system for real-time ergonomic feedback in industrial manufacturing

Vignais, Nicolas; Miezal, Markus; Bleser, Gabriele; Mura, Katharina; Gorecky, Dominic; Marin, F.

doi:10.1016/j.apergo.2012.11.008

Cited by 269 publications

(230 citation statements)

References 29 publications

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“…Vignais et al [26] have developed an innovative system for real-time ergonomic assessment in industrial manufacturing. The assessment is done by referring RULA scoring sheet.…”

Section: Inertial Measurement Units (Imu)mentioning

confidence: 99%

A study on the ergonomic assessment in the workplace

Tee

Low

Saim

et al. 2017

AIP Conference Proceedings

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White blood cell counting analysis of blood smear images using various segmentation strategies AIP Conference Proceedings 1883, 020018 (2017) Abstract:Ergonomics has gained attention and take into consideration by the workers in the different fields of works recently. It has given a huge impact on the workers comfort which directly affects the work efficiency and productivity. The workers have claimed to suffer from the painful postures and injuries in their workplace. Musculoskeletal disorders (MSDs) is the most common problem frequently reported by the workers. This problem occurs due to the lack of knowledge and alertness from the workers to the ergonomic in their surroundings. This paper intends to review the approaches and instruments used by the previous works of the researchers in the evaluation of the ergonomics. The two main assessment methods often used for ergonomic evaluation are Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA). Popular devices are Inertial Measurement Units (IMU) and Microsoft Kinect.

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“…Vignais et al [26] have developed an innovative system for real-time ergonomic assessment in industrial manufacturing. The assessment is done by referring RULA scoring sheet.…”

Section: Inertial Measurement Units (Imu)mentioning

confidence: 99%

A study on the ergonomic assessment in the workplace

Tee

Low

Saim

et al. 2017

AIP Conference Proceedings

View full text Add to dashboard Cite

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“…Observational methods based on videotaped work task sequences to analyze various kinds of manual tasks with certain software are widely used nowadays because of its practicality and affordability [19,15]. When designing a new task, another option is to use digital human models (DHM) for ergonomic analysis because by using DHM it is possible to study, analyses and visualize the movement or posture in a user friendly three dimensional graphical interface.…”

Section: Introductionmentioning

confidence: 99%

“…For example are the RULA, REBA, OWAS, LUBA, QEC, PATH and PEO method [14,15,3]. Rapid Upper Limb Assessment (RULA) index is one of the most cited and commonly used tools for evaluating ergonomic risk of work-related MSDs [15,16]. RULA is a subjective observation method for posture analysis that focuses on the upper part of the body with the particular attention to the neck, trunk and upper limbs [17,18,15].…”

Section: Introductionmentioning

confidence: 99%

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RULA Analysis of Work-Related Disorder among Packaging Industry Worker Using Digital Human Modeling (DHM)

Mohamad

Deros

Ismail

et al. 2013

AEF

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Abstract. Musculoskeletal disorder (WMSDs) is the common health problems for the industrial workers. This health problem can contribute to long term effect on the production performance. The objective of this study is to analyze the posture of industrial worker in packaging industry using the RULA assessment in CATIA P3 V5R14 software. The working posture was reconstructed and developed in the CATIA P3 V5R14 software and then RULA assessment was conducted. From the RULA analysis, several awkward postures were detected to be high in risk factors. The postures in risk are postures 1,2 and 5 which mainly involve lifting heavy product and excessive bending. As a conclusion the RULA assessment was able to detect the problematic postures and further improvement can be conducted to avoid discomfort or further health complication.

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“…Microsoft Kinect can measure 3D human motion without complex setup and wearable devices, which makes it a promising system for motion analysis in such a context. Nowadays, low-cost Kinect has been applied to clinical gait analysis [2,3,16], sign-language analysis [17,24], sport training [7,22] and ergonomics [12,39].…”

Section: Introductionmentioning

confidence: 99%

Filtered pose graph for efficient kinect pose reconstruction

Plantard

Shum

Multon

2016

Multimed Tools Appl

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Being marker-free and calibration free, Microsoft Kinect is nowadays widely used in many motion-based applications, such as user training for complex industrial tasks and ergonomics pose evaluation. The major problem of Kinect is the placement requirement to obtain accurate poses, as well as its weakness against occlusions. To improve the robustness of Kinect in interactive motion-based applications, real-time data-driven pose reconstruction has been proposed. The idea is to utilize a database of accurately captured human poses as a prior to optimize the Kinect recognized ones, in order to estimate the true poses performed by the user. The key research problem is to identify the most relevant poses in the database for accurate and efficient reconstruction. In this paper, we propose a new pose reconstruction method based on modelling the pose database with a structure called Filtered Pose Graph, which indicates the intrinsic correspondence between poses. Such a graph not only speeds up the database poses selection process, but also improves the relevance of the selected poses for higher quality reconstruction. We apply the proposed method in a challenging environment of industrial context that involves sub-optimal Kinect placement and a large amount of occlusion. Experimental results show that our real-time system reconstructs Kinect poses more accurately than existing methods.

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Innovative system for real-time ergonomic feedback in industrial manufacturing

Cited by 269 publications

References 29 publications

A study on the ergonomic assessment in the workplace

A study on the ergonomic assessment in the workplace

RULA Analysis of Work-Related Disorder among Packaging Industry Worker Using Digital Human Modeling (DHM)

Filtered pose graph for efficient kinect pose reconstruction

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