Motion generation from MTM semantics

Kuo, Chih‐Ming; Wang, Mao-Jiun

doi:10.1016/j.compind.2009.01.006

Cited by 18 publications

(12 citation statements)

References 18 publications

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“…DHM simulations are generally made subjectively by the designer, using a computer keyboard and mouse. Various paths have been explored to facilitate this animation task: using optimisation algorithms (Chaffin, 1997;Zhang et al, 2010), experimental data from movement analyses (Fritzsche et al, 2011;Wang, 2008), more intuitive computer interfaces (Yoshizaki et al, 2011), and the automated translation of a codified operating procedure into postures and movements (Claudon and Marsot, 2009;Kuo and Wang, 2009). More recently, works in the area of humanoid robotics have used command laws based on some characteristics of human movement and motor control to animate digital manikins that also comply with mechanical laws (Collette, 2009;De Magistris et al, 2011;Mansour et al, 2011).…”

Section: Intrinsic Movement Variability and Design Engineeringmentioning

confidence: 99%

Intrinsic movement variability at work. How long is the path from motor control to design engineering?

2016

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For several years, increasing numbers of studies have highlighted the existence of movement variability. Before that, it was neglected in movement analysis and it is still almost completely ignored in workstation design. This article reviews motor control theories and factors influencing movement execution, and indicates how intrinsic movement variability is part of task completion. These background clarifications should help ergonomists and workstation designers to gain a better understanding of these concepts, which can then be used to improve design tools. We also question which techniques--kinematics, kinetics or muscular activity--and descriptors are most appropriate for describing intrinsic movement variability and for integration into design tools. By this way, simulations generated by designers for workstation design should be closer to the real movements performed by workers. This review emphasises the complexity of identifying, describing and processing intrinsic movement variability in occupational activities.

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Section: Intrinsic Movement Variability and Design Engineeringmentioning

confidence: 99%

Intrinsic movement variability at work. How long is the path from motor control to design engineering?

2016

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“…Human motion generation is a time-consuming and painstaking task where information of the angles of the major joints is collected and designated one by one. Accordingly, several studies have constructed a database that defines and reuses standards of motions that frequently occur in a plant (Kuo and Chu 2005;Kuo and Wang 2009). However, ergonomic simulations that use these standards cannot provide accurate results, and numerous manual operations are still required.…”

Section: Digital Human Modelling Using Inline Motion Capturementioning

confidence: 99%

“…The FK technique uses the information on the direction and position of the end effect of the connected objects to express all the postures, and the IK technique generates the DHM postures by designating the angle of each joint constituting the 'Human'. Thus, the IK technique, which has the advantage of being user-intuitive, is widely used for character animation (Kuo and Wang 2009). In this study, a human schema was defined that could satisfy both techniques.…”

Section: Human Schemamentioning

confidence: 99%

XML-based neutral schema for automated ergonomic analysis with digital human simulation and inline motion capture

Joung

Noh

2015

International Journal of Computer Integrated Manufacturing

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The information needed to perform ergonomic simulations of a plant process includes the bill of material of the product, plant layout, CAD files of the facilities/equipment/tools/parts constructed in the plant, work processes and motion information of a worker. Product lifecycle management (PLM) consists of the integrated management of product-related information throughout the entire lifecycle of the product, from understanding the customer's needs, which is the initial product planning step, to maintenance and repair, which comprise the last step. PLM has drawn attention as a core strategy for the informatisation of production, which is essential to the various challenges currently faced by the manufacturing industry, such as timely product development and cooperation between different departments or firms. Most studies on data management using PLM systems, however, have focused on managing product information. Therefore, this study extends the range of information managed through PLM to the product, plant, process, resources and human factors (P3RH), and the P3RH schema is defined for the purpose of providing integrated management. An automated ergonomic simulation system was developed to test the defined schema consisting of a PLM system, inline motion capture system, PLM integrator and ergonomic simulator. Furthermore, the P3RH schema defined in this study is used for system integration.

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“…It can be completely subjective when controlled by the designers, whether this task is carried out, in a direct way, by using a keyboard or, in an experimental way, by using a puppet (Yoshizaki et al, 2011). It can also rely on optimisation algorithms (Chaffin, 1997;Center for Ergonomics, 2004), computer techniques (Zhang et al, 2010), experimental data from motion capture devices (Wang, 2008;Fritzsche et al, 2011) or even the operating procedures given by process/method engineers (Kuo and Wang, 2009). …”

Section: Dhm Limitationsmentioning

confidence: 99%

Dynamic digital human models for ergonomic analysis based on humanoid robotics techniques

Magistris¹,

Micaelli²,

Savin³

et al. 2015

IJDH

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Digital human models can be used for biomechanical risk factors assessment of a workstation and work activity design for which there is no physical equipment that can be tested using actual human postures and forces. Yet, using digital human model software packages is usually complex and time-consuming. A challenging aim therefore consists in developing an easy-to-use digital human model capable of computing dynamic, realistic movements and internal characteristics in quasi-real time, based on a simple description of future work tasks, in order to achieve reliable ergonomics assessments of various work task scenarios. We developed such a dynamic digital human model, which is automatically controlled in force and acceleration and inspired by human motor control and based on robotics and physics simulation. In our simulation framework, the digital human model motion was controlled by real-world Newtonian physical and mechanical laws. We also simulated and assessed experimental insert-fitting activities according to the occupational repetitive actions (OCRA) ergonomic index. Simulation led to satisfactory results: experimental and simulated ergonomics evaluations were consistent, and both joint torques and digital human model movements were realistic and coherent with human-like behaviours and performances.

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Motion generation from MTM semantics

Cited by 18 publications

References 18 publications

Intrinsic movement variability at work. How long is the path from motor control to design engineering?

Intrinsic movement variability at work. How long is the path from motor control to design engineering?

XML-based neutral schema for automated ergonomic analysis with digital human simulation and inline motion capture

Dynamic digital human models for ergonomic analysis based on humanoid robotics techniques

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