Estimating the minimum grip force required when grasping objects under impulsive loading conditions

Turrell, Yvonne; Li, F. X.; Wing, Alan M.

doi:10.3758/bf03195345

Cited by 15 publications

(13 citation statements)

References 20 publications

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“…A total of 20 trials for which the thumb slipped by 2-4 mm were recorded, and a mean SR was calculated for each subject. Elsewhere, we have shown that for a given subject SR is similar when actively producing and when resisting an imposed collision (Turrell et al, 2001). In the present experiment, individual SR means ranged from 0.09 to 0.18.…”

Section: Safety Marginsupporting

confidence: 54%

“…The manipulandum was further fitted with two linear potentiometers mounted parallel to its sides to measure the amplitude of displacement over the grasp surfaces of the tip of the thumb, on one side, and the middle finger tip on the other side ( Figure 1). Analysis of the displacement curves from this apparatus enabled a distinction to be made between roll (rotation without translation) and slip (translation) components of finger movement (see Turrell, Li, & Wing, 2001).…”

Section: Apparatusmentioning

confidence: 99%

“…Slip ratios are significantly affected by the speed of the loading conditions (Turrell et al, 2001). In the present study, SR was estimated at the end of the session by asking subjects to hit the lower end of the pendulum with the manipulandum.…”

Section: Safety Marginmentioning

confidence: 99%

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Efficiency of Grip Force Adjustments for Impulsive Loading during Imposed and Actively Produced Collisions

Delevoye-Turrell

Wing

2003

The Quarterly Journal of Experimental Psychology Section A

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During object manipulation, both predictive feedforward and reactive feedback mechanisms are available to adjust grip force (GF) levels to compensate for the destabilizing effects of load force changes. During collisions, load force increases impulsively (< 20 ms). Thus, only predictive control of GF can be used to ensure grasp stabilization. A collision paradigm is here used to investigate the effects of practice and vision on the efficiency of the predictive control of GF. Subjects actively produced or received an imposed collision with a pendulum. Subjects were more efficient (used smaller GF for identical loads) when producing than when receiving the collisions. Effects of practice were evident in the active producing task only, with GF levels reducing over repetitions, suggesting that sensorimotor memory for the task was used to adjust GF more efficiently. With imposed collisions, GF levels did not reduce with repetition, which suggests that a direct relation between motor action and sensory feedback may be necessary to improve efficiency. Nevertheless, in this condition GF was lower with visual feedback, indicating potential for more efficient grip possibly associated with subjects degree of confidence. We discuss the implications of these results for accounts of the predictive and the reactive control of movement.

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Section: Safety Marginsupporting

confidence: 54%

Section: Apparatusmentioning

confidence: 99%

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Efficiency of Grip Force Adjustments for Impulsive Loading during Imposed and Actively Produced Collisions

Delevoye-Turrell

Wing

2003

The Quarterly Journal of Experimental Psychology Section A

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“…Despite the fact that the average grip force level at the beginning of the experiment is set at 1.5 N, our data showed a large variation between participants' performance right from the start of the experiment. This may be explained by the fact that the preset 1.5-N force level was above the slip-ratio limit, which can be estimated to be close to 27 g (i.e., 27 mN) when holding an object of 68 g (Turrell, Li, & Wing, 2001). Hence, even if participants lowered their grip force level during the trial, the level was never low enough to risk object slippage.…”

Section: Resultsmentioning

confidence: 99%

A simple technique to study embodied language processes: the grip force sensor

et al. 2015

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Research in cognitive neuroscience has shown that brain structures serving perceptual, emotional, and motor processes are also recruited during the understanding of language when it refers to emotion, perception, and action. However, the exact linguistic and extralinguistic conditions under which such language-induced activity in modality-specific cortex is triggered are not yet well understood. The purpose of this study is to introduce a simple experimental technique that allows for the online measure of language-induced activity in motor structures of the brain. This technique consists in the use of a grip force sensor that captures subtle grip force variations while participants listen to words and sentences. Since grip force reflects activity in motor brain structures, the continuous monitoring of force fluctuations provides a fine-grained estimation of motor activity across time. In other terms, this method allows for both localization of the source of language-induced activity to motor brain structures and high temporal resolution of the recorded data. To facilitate comparison of the data to be collected with this tool, we present two experiments that describe in detail the technical setup, the nature of the recorded data, and the analyses (including justification about the data filtering and artifact rejection) that we applied. We also discuss how the tool could be used in other domains of behavioral research.

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“…Different techniques have been used in the past to estimate the static coefficient of friction (Turrell et al, 2001). The most widespread approach in dexterous manipulation involved asking subjects to slowly separate the thumb and index finger until an object dropped.…”

Section: Introductionmentioning

confidence: 99%