An Experimental Investigation of the Discomfort of Arm Reaching Movements in a Seated Position

Chevalot, Nicolas; Wang, Xuguang

doi:10.4271/2004-01-2141

Cited by 19 publications

(12 citation statements)

References 11 publications

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“…A modified CP-50 discomfort scaled was used. Discomfort ratings were composed by 5 categories from very weak to very strong and ratings from 1 to 10 within the categories [2]. Participants were asked to focus on the ascending part of the handbrake operation.…”

Section: Handbrake Test Sessionmentioning

confidence: 99%

Comparison between static maximal force and handbrake pulling force

Chateauroux

Wang

2012

Work

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The measurement of maximum pulling force is important not only for specifying force limit of industrial workers but also for designing controls requiring high force. This paper presents a comparison between maximal static handbrake pulling force (F ST ) and force exerted during normal handbrake pulling task (F DY ). These forces were measured for different handle locations and subject characteristics. Participants were asked to pull a handbrake on an adjustable car mock-up as they would do when parking their own car, then to exert a force as high as possible on the pulled handbrake. Hand pulling forces were measured using a six-axes force sensor. 5 fixed handbrake positions were tested as well as a neutral handbrake position defined by the subject. F ST and F DY were significantly correlated. Both were found to be dependent on handbrake position, age and gender. As expected, women and older subjects exerted lower forces. F ST was significantly higher than F DY . The ratio FmR (F DY divided by F ST ) was also analyzed. Women showed higher FmR than men meaning that the task required a higher amount of muscle capability for women. FmR was also influenced by handbrake location. These data will be useful for handbrake design.

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Section: Handbrake Test Sessionmentioning

confidence: 99%

Comparison between static maximal force and handbrake pulling force

Chateauroux

Wang

2012

Work

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“…It must be noted that most of these gravity-eliminated, horizontal plane reaching, and some other gravity-resisted reaching, tasks were performed from a seated position, sizably obviating the need for postural action preparation (Atkeson and Hollerbach, 1985;Chevalot and Xuguang, 2004;Klein Breteler et al, 1998;Nishikawa et al, 1999;Sciutti et al, 2012;Zhang and Chaffin, 2000). Performing a reaching task from a standing position is far more challenging than it is from a seated one (Christina et al, 1982;Christina and Rose, 1985).…”

Section: Introductionmentioning

confidence: 98%

Internal consistency and test–retest reliability of an instrumented functional reaching task using wireless electromyographic sensors

Varghese

Hui-Chan

Wang

et al. 2014

Journal of Electromyography and Kinesiology

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“…In this framework, the aim of the present work was to propose an efficient tool to represent compactly the features of the trajectories of hand-frame origin, wrist joint centre or fingertip in the task space. Their modelling is useful in order to predict the behaviour of virtual human workers during the execution of manual tasks (Chaffin et al 1999;Wang 1999;Maurel and Thalmann 2000;Chaffin 2002;Chevalot and Wang 2004;Yang et al 2006;Rezzoug and Gorce 2008;Rezzoug and Gorce 2009). They can be used as a feature extraction tool to improve the automatic classification of human movements from motion capture.…”

Section: Introductionmentioning

confidence: 98%

Spatiotemporal representation of 3D hand trajectory based on beta-elliptic models

Boubaker

Rezzoug

Kherallah

et al. 2014

Computer Methods in Biomechanics and Biomedical Engineering

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The aim of this paper was to model the hand trajectory during grasping by an extension in 3D of the 2D written language beta-elliptic model. The interest of this model is that it takes into account both geometric and velocity information. The method relies on the decomposition of the task space trajectories in elementary bricks. The latter is characterized by a velocity profile modelled with beta functions and a geometry modelled with elliptic shapes. A data base of grasping movements has been constructed and the errors of reconstruction were assessed (distance and curvature) considering two variations of the beta-elliptic model ('quarter ellipse' and 'two tangents points' method). The results showed that the method based on two tangent points outperforms the quarter ellipse method with average and maximum relative errors of 2.73% and 8.62%, respectively, and a maximum curvature error of 9.26% for the former. This modelling approach can find interesting application to characterize the improvement due to a rehabilitation or teaching process by a quantitative measurement of hand trajectory parameters.

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An Experimental Investigation of the Discomfort of Arm Reaching Movements in a Seated Position

Cited by 19 publications

References 11 publications

Comparison between static maximal force and handbrake pulling force

Comparison between static maximal force and handbrake pulling force

Internal consistency and test–retest reliability of an instrumented functional reaching task using wireless electromyographic sensors

Spatiotemporal representation of 3D hand trajectory based on beta-elliptic models

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