3D fuzzy ergonomic analysis for rapid workplace design and modification in construction

Wang, Jingwen; Han, SangHyeok; Li, Xinming

doi:10.1016/j.autcon.2020.103521

Cited by 30 publications

(6 citation statements)

References 43 publications

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“…Human key points were calculated from many camera angles to eliminate viewpoint distortion and correct for capture mistakes, allowing the system to recreate the dancers' motions. The research [17] provided a robotic, proactively 3D fuzzy ecological risk evaluation technique that addresses all of the previously mentioned limitations through the precise quantification of ecological risks of continual movements in order to facilitate the quick construction and change of workplaces. In order to enhance surgery accuracy and robotics flexibility during decompressive laminectomy with a robot, the research [18] suggested a multilayer fuzzy control based on force data.…”

Section: Related Workmentioning

confidence: 99%

3D reconstruction study of motion fuzzy coded and non-coded targets based on iterative relaxation method

Shi

2024

Preprint

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Robotics and computer vision researchers are struggling to accurately and robustly recreate 3D models of moving objects. This work provides a novel approach based on iterative relaxation for reconstructing the motion of both fuzzy-coded and non-coded targets. To overcome motion blur and the lack of distinguishing characteristics in circular retro-reflective targets, we use Deep Convolutional Neural Networks (DCNNs) for feature extraction and representation learning. To do this, we gather a large dataset of motion-blurred images with circular retro-reflective objects and train DCNN architecture. Through this training, the network learned to discriminate and extract relevant information from targets. After training, the DCNN extracts features from motion images. An iterative relaxation strategy refines the original 3D reconstruction (3D-R) estimations. This approach uses DCNN features and motion temporal coherence to refine estimates constantly. Relaxation assures that the reconstructed 3D motion matches the observed images and enables motion blur uncertainty. The efficiency of the suggested technique in recreating the 3D motion of both fuzzy-coded and non-coded targets is shown by our experimental findings. We demonstrate that our approach outperforms conventional techniques. The suggested technique has the potential for use in computer vision, robotics, and augmented reality.

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Section: Related Workmentioning

confidence: 99%

3D reconstruction study of motion fuzzy coded and non-coded targets based on iterative relaxation method

Shi

2024

Preprint

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“…Such ergonomic risk factors are the primary causes of work-related musculoskeletal disorders (e.g., injuries and disorders of muscles, tendons, and nerves) [115]. To deal with this problem, REBA and RULA have been used for identifying and assessing workers' body postures [64,116]. As they can only be used for assessing a single body posture manually, VR and motion capture technology are combined to provide more automatic and accurate ergonomic evaluation results recently, urging workers to reduce inappropriate postures and improve workplace design [68,117].…”

Section: Knowledge Theme 3: Safety and Healthmentioning

confidence: 99%

Exploring the Knowledge Domain of Risk Management in Prefabricated Construction

et al. 2022

Buildings

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Risks hinder the role of prefabricated construction (PC) in promoting construction automation. Although existing research has focused on risk management (RM) in PC, the lack of a global perspective has affected the effectiveness of RM. Accordingly, this paper adopts a scientometric analysis to review the knowledge domain of RM in PC. A total of 144 articles were selected from the Scopus database for journal citation analysis, document co-citation analysis, and keyword co-occurrence analysis. The results show that since 2011, the annual publications show an overall upward trend. International Journal of Construction Management, Journal of Building Engineering, and Buildings have been cited more frequently recently. PC research, RM research, environmental sustainability research, and ergonomic research provide a solid foundation for the research on RM in PC. Existing studies are conducted from five knowledge themes, namely, Supply chain and industry, Decision and optimization, Safety and health, Environment and overheating, and Investment and cost. Further, current research content, future research needs, and RM strategies for PC practices are discussed. This study helps stimulate further promising research and enhance the effectiveness of RM in PC in practice.

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“…Therefore, it is particularly necessary to conduct timely and effective ergonomic research. The traditional ergonomics evaluation method is based on subjective judgment, and the movement data of workers performing tasks in the workplace can be obtained by direct observation on the spot or video recording [4][5][6] . However, this method of collecting human movement data consumes a lot of time and is prone to errors in the process of data statistics.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of ergonomic evaluation system based on fuzzy theory

Wang,

Ruan

et al. 2023

5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023)

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Accurate ergonomic risk assessment can provide favourable support for the improvement of workers' work tasks, and the traditional man-machine risk assessment method is inconvenient to operate, time-consuming and greatly affected by human subjective factors. In this paper, an ergonomic risk assessment system based on fuzzy theory is designed and developed, using the improved rapid whole body assessment (REBA) method based on fuzzy theory. The evaluation system uses a motion capture device to provide input and automate ergonomic evaluation, reducing time consumption. The reliability of the evaluation system was verified by the handling experiment, and the system evaluation results were compared and compared with the ergonomics expert and JACK software, and the results showed that the correlation coefficient between ergonomic experts and the system was r=0.947, and the correlation coefficient between JACK software and the system was r=0.856, which had significant correlation.

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3D fuzzy ergonomic analysis for rapid workplace design and modification in construction

Cited by 30 publications

References 43 publications

3D reconstruction study of motion fuzzy coded and non-coded targets based on iterative relaxation method

3D reconstruction study of motion fuzzy coded and non-coded targets based on iterative relaxation method

Exploring the Knowledge Domain of Risk Management in Prefabricated Construction

Design and implementation of ergonomic evaluation system based on fuzzy theory

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