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Titlebook: Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Anthropom; 13th International C Vincent G. Duffy

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Growth Factor Synergy in Angiogenesiss that can annotate the human movement automatically. This study trained and compared four different machine learning algorithms (random forest, K neighbors, neural network, and decision tree) through supervised learning on existing video datasets of dance performances. The developed system was able
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Growth Factor Synergy in Angiogenesis keywords, 97 keywords were divided into four clusters. Cluster 1 mainly about design of robot. Cluster 2 mainly design about task of robot collaborative service. Cluster 3 mainly technology of robot collaborative service. Cluster 4 mainly about fields of application of robot collaborative service.
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Utilizing Digital Human Modeling to Optimize the Ergonomic Environment of Heavy Earthmoving Equipmenage height), and two male operators (50. and 95. percentile height). Several aspects of the cabin environment were adjusted, and several discomfort analyses were performed to identify optimal adjustments that would reduce the ergonomic risk for diverse providers. Modifications made to the seat, stee
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Redesigning an Excavator Operator’s Seat and Controls Using Digital Human Modelling in RAMSISsiderable improvement in comfort feeling. Some variation in discomfort was seen when the manikin type was altered. Reachability analysis unveiled another crucial design flaw as a controls shaft near the steering wheel was out of reach of all three manikins. Some of the recommended modifications in s
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Research on the Index System for Evaluating the Ergonomics Design of Helicopter Cockpitsndexes have formed a scientific and reasonable index system for evaluating the ergonomics of helicopter cockpits. It lays a foundation for the comprehensive evaluation of helicopter cockpit ergonomics with multiple indexes.
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Grasp Intent Detection Using Multi Sensorial Datadata from IMU sensors, EMG and cameras. The deep learning (DL) approach has been developed to increase the accuracy of the grasp intent by continuously predicting the intent class while moving the hand towards the object. The deep learning network archives an accuracy of 92.3% over 89% as in literat
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Research on Adjustable Classroom Desks and Chairs Based on the Human Dimensions of Chinese Minorsted by substituting the body size data of the age group into the size formula. The results of the study show that the three most affected age groups are 7 to 10 years, 11 to 12 years and 13 to 15 years. Finally, three sets of classroom desk and chair height adjustment ranges and scales were calculat
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