Upper body reach posture prediction for ergonomic evaluation models

Jung, Eui S.; Kee, Dohyung; Chung, Min K.

doi:10.1016/0169-8141(94)00088-k

Cited by 88 publications

(41 citation statements)

References 6 publications

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“…Many human motion simulation models have been developed to animate digital human models (Jung et al, 1995;Wang, 1999b;Zhang and Chaffin, 2000;Faraway, 2003). However, most of these models do not considered the temporal coordination exhibited by humans.…”

Section: Introductionmentioning

confidence: 99%

The effects of target location on temporal coordination of the upper body during 3D seated reaches considering the range of motion

Lim¹,

Martin²,

Chung³

2004

International Journal of Industrial Ergonomics

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Section: Introductionmentioning

confidence: 99%

The effects of target location on temporal coordination of the upper body during 3D seated reaches considering the range of motion

Lim¹,

Martin²,

Chung³

2004

International Journal of Industrial Ergonomics

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“…JRA is given quantitatively in the form of a least-square, in which the weight, w i , was included to reflect anthropometric characteristics of human upper body segments. Here, the psychophysical discomfort values suggested by Jung et al (1992Jung et al ( ,1995 were used for w i .…”

Section: Reach Modelingmentioning

confidence: 99%

“…Once the link frames have been defined and the corresponding link parameters found, T i−1 i can be obtained. The D-H notation uses a minimum number of parameters to completely describe the kinematic relationship between two adjacent links (Jung et al, 1995).…”

Section: Kinematic Modeling Of the Upper Bodymentioning

confidence: 99%

“…As for the cost function, ∇H (θ), the JRA was employed in this study for the quantification of natural joint motion (Jung et al, 1995):…”

Section: Reach Modelingmentioning

confidence: 99%

“…Among numerous evaluation functions, simulation or prediction of human reach has been regarded as an essential function because a great portion of the interaction between the human body and workplaces takes place through hand reaches toward specified targets in space (Case, Porter, & Bonney, 1990;Jung, Kee, & Chung, 1992, 1995Korein, 1985;Zhang & Chaffin, 1997). In fact, human-reach movement is a complex phenomenon involving the coordination of multiple joint rotations with redundant degrees of freedom.…”

Section: Introductionmentioning

confidence: 99%

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Two‐handed human reach prediction models for ergonomic evaluation

Jung¹,

Shin²

2010

Hum Ftrs & Erg Mfg Svc

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As an essential function of computerized ergonomic evaluation models based on digital human models, realistic simulation or prediction of human reach profiles is of great importance. Although several human-modeling efforts have been made to provide the capability of reach simulation, most studies have been limited to the reach of a single extremity. A variety of activities of human operators, however, frequently involve simultaneous positioning of two or more extremities to different target positions. Such a multiple reach problem cannot be satisfactorily resolved by means of conventional single-extremity reach models because formulation of the problem as a series of single reaches rarely yields accurate trajectory of human-reach profiles due to interactions of multiple extremities. In this research, a two-handed reach prediction model was developed. The human upper body was modeled as a seven-link system with 13 degrees of freedom, being regarded as a redundant open kinematic chain with two end-effectors. As a way of solving the two-handed reach problem, the resolved motion method was adopted among several inverse kinematics methods as the technique is fit for real-time redundancy control. The method is also capable of incorporating the joint range availability criterion as a cost function to minimize excessive deviations of body joints from their neutral positions. Real human-reach profiles were compared to those obtained from the prediction model and were found to be statistically similar. The methodology is expected to be applicable to the reach simulation of both upper and lower extremities without algorithmic difficulties. C 2010 Wiley Periodicals, Inc.

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Ergonomists’ and Engineers’ Views on the Utility of Virtual Human Factors Tools

Pérez

Neumann

2015

Hum Ftrs & Erg Mfg Svc

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A qualitative research study was conducted through explorative workshops to better understand the experiences, perceptions, needs, and expectations of the users and potential users of virtual human factors (VHF) tools. Five VHF tools were presented to ergonomists, engineers, and managers who participated in four whole‐day interactive workshops: HF enabled predetermined motion time systems (PMTS), discrete event simulation (DES), complex and simple digital human models (DHM), and virtual reality (VR). Data were collected by note‐takers, digital audio recording, and written feedback. Identified characteristics shared by the tools were organized into 9 categories that act as a motivational or deterring factor for the use of the tool: time, cost, training, difficulty of use, trustworthiness, graphics, flexibility, usefulness, and report presentation. Other tool specific areas of improvement were also identified by participants to help developers improve these design instruments.

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Upper body reach posture prediction for ergonomic evaluation models

Cited by 88 publications

References 6 publications

The effects of target location on temporal coordination of the upper body during 3D seated reaches considering the range of motion

The effects of target location on temporal coordination of the upper body during 3D seated reaches considering the range of motion

Two‐handed human reach prediction models for ergonomic evaluation

Ergonomists’ and Engineers’ Views on the Utility of Virtual Human Factors Tools

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