Measurement and analysis of grip force during a golf shot

Komi, Erin R.; Roberts, Jonathan R.; Rothberg, Steve

doi:10.1243/17543371jset9

Cited by 21 publications

(16 citation statements)

References 13 publications

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“…However, it is important to note that in [35] only a video-based grip classification scheme was used which did not consider the biomechanics associated with different pencil grip shapes. Finally, studies of grip forces associated with golf swings have shown that each player deploys a repeatable grip force profile that is distinct from that of other players [36]–[38]. Our finding corroborates the general conclusion of these studies that a high level of intra-participant grip kinetic repeatability tends to accompany a well-learned manual motor activity.…”

Section: Discussionsupporting

confidence: 87%

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Variability of Grip Kinetics during Adult Signature Writing

et al. 2013

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Grip kinetics and their variation are emerging as important considerations in the clinical assessment of handwriting pathologies, fine motor rehabilitation, biometrics, forensics and ergonomic pen design. This study evaluated the intra- and inter-participant variability of grip shape kinetics in adults during signature writing. Twenty (20) adult participants wrote on a digitizing tablet using an instrumented pen that measured the forces exerted on its barrel. Signature samples were collected over 10 days, 3 times a day, to capture temporal variations in grip shape kinetics. A kinetic topography (i.e., grip shape image) was derived per signature by time-averaging the measured force at each of 32 locations around the pen barrel. The normalized cross correlations (NCC) of grip shape images were calculated within- and between-participants. Several classification algorithms were implemented to gauge the error rate of participant discrimination based on grip shape kinetics. Four different grip shapes emerged and several participants made grip adjustments (change in grip shape or grip height) or rotated the pen during writing. Nonetheless, intra-participant variation in grip kinetics was generally much smaller than inter-participant force variations. Using the entire grip shape images as a 32-dimensional input feature vector, a K-nearest neighbor classifier achieved an error rate of % in discriminating among participants. These results indicate that writers had unique grip shape kinetics that were repeatable over time but distinct from those of other participants. The topographic analysis of grip kinetics may inform the development of personalized interventions or customizable grips in clinical and industrial applications, respectively.

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Section: Discussionsupporting

confidence: 87%

“…Hence, kinetic variation across individuals is not unexpected. Such variation has also been noted with other motor skills such as golf swings [36]–[38].…”

Section: Discussionmentioning

confidence: 60%

Variability of Grip Kinetics during Adult Signature Writing

et al. 2013

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“…Participants were instructed to maintain an intensity equivalent to the one that they would produce under real match conditions. Grip strength was measured with a cylindrical dynamometer (circumference ¼ 110 mm) equipped with a pressure sensitive pad (Tekscan 9801) (Komi et al 2008). Subjects were seated with an elbow flexed at 908.…”

Section: Methodsmentioning

confidence: 99%

The effect of tennis racket grip size on grip force during a simulated tennis match play

Rossi¹,

Foissac²,

Vigouroux³

et al. 2009

Computer Methods in Biomechanics and Biomedical Engineering

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“…[7,12,22]. Each of the chosen features represent a different aspect of grip kinetics, namely, the grip shape (NCC), the overall grip force (TAF), and the spread of the grip force (TFIQR).…”

Section: Feature Extractionmentioning

confidence: 99%

Long Term Consistency of Handwriting Grip Kinetics in Adults

Ghali

Mamun

Chau

2014

Journal of Biomechanical Engineering

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While there is growing interest in clinical applications of handwriting grip kinetics, the consistency of these forces over time is not well-understood at present. In this study, we investigated the short- and long-term intra-participant consistency and inter-participant differences in grip kinetics associated with adult signature writing. Grip data were collected from 20 adult participants using a digitizing tablet and an instrumented pen. The first phase of data collection occurred over 10 separate days within a three week period. To ascertain long-term consistency, a second phase of data collection followed, one day per month over several months. In both phases, data were collected three times a day. After pre-processing and feature extraction, nonparametric statistical tests were used to compare the within-participant grip force variation between the two phases. Participant classification based on grip force features was used to determine the relative magnitude of inter-participant versus intra-participant differences. The misclassification rate for the longitudinal data were used as an indication of long term kinetic consistency. Intra-participant analysis revealed significant changes in grip kinetic features between the two phases for many participants. However, the misclassification rate, on average, remained stable, despite different demarcations of training, and testing data. This finding suggests that while signature writing grip forces may evolve over time, inter-participant kinetic differences consistently exceeds within-participant force changes in the long-term. These results bear implications on the collection, modeling and interpretation of grip kinetics in clinical applications.

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Measurement and analysis of grip force during a golf shot

Cited by 21 publications

References 13 publications

Variability of Grip Kinetics during Adult Signature Writing

Variability of Grip Kinetics during Adult Signature Writing

The effect of tennis racket grip size on grip force during a simulated tennis match play

Long Term Consistency of Handwriting Grip Kinetics in Adults

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