Using the Force-Time Curve to Detect Maximal Grip Strength Effort

2007 ◽  
Vol 20 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Orit Shechtman ◽  
Bhagwant S. Sindhu ◽  
Paul W. Davenport
Keyword(s):  
Grip Strength ◽  
Time Curve ◽  
Force Time

The Relationship Between Isometric Force-Time Curve Characteristics and Club Head Speed in Recreational Golfers

2012 ◽  
Vol 26 (10) ◽  
pp. 2685-2697 ◽  
Author(s):  
Brian K. Leary ◽  
Jason Statler ◽  
Britton Hopkins ◽  
Rachael Fitzwater ◽  
Tucker Kesling ◽  
...  
Keyword(s):  
Isometric Force ◽  
Time Curve ◽  
Club Head ◽  
Force Time ◽  
The Relationship ◽  
Recreational Golfers

Control of Rapidly Executed Forces to a Target

1987 ◽  
Vol 65 (3) ◽  
pp. 827-836
Author(s):  
Donald Siegel
Keyword(s):  
Visual Feedback ◽  
Predictor Variable ◽  
Peak Force ◽  
Important Predictor ◽  
Force Amplitude ◽  
Time Curve ◽  
Time To Peak ◽  
Hand Grip ◽  
Rapid Responses ◽  
Force Time

The purpose of the present study was to determine whether initial measures of impulse (i.e., area under the force-time curve) could be used to predict peak force (PF) in hand grip responses of 5- and 10-kg amplitude executed as rapidly as possible. 12 subjects performed 75 practice and 25 test contractions in each condition, with and without visual feedback. The time to peak (PT) for the 5-kg responses was 41 msec., while the 10-kg condition averaged 56 msec. Analyses demonstrated no effect for visual feedback. Correlational analyses of cumulative impulse sections from 5 msec., to PF within conditions showed that early measures of force within a response were not very good predictors of final force amplitude. Indeed, for both conditions upwards of 85% of a reponse needed to have occurred before 50% of PF variance could be predicted. Analyses across conditions demonstrated that 50% of PF variance could be predicted between 15 and 20 msec. PT was also an important predictor variable. By using PT along with cumulative impulse 50% of the variance in PF could be predicted prior to 10 msec., at 5 kg (25% of PT) and at about 15 msec., for 10 kg (27% of PT). Across conditions, 85% of the variance in PF was predictable by 5 msec. Such results suggest that either more refined response indices are needed in predicting response outcome or that even for very rapid responses some lower level “tuning” probably occurs after initiation.

scholarly journals A Practical Guide to Analyzing the Force-Time Curve of Isometric Tasks in Excel

2019 ◽  
pp. 1 ◽  
Author(s):  
Shyam Chavda ◽  
Anthony N. Turner ◽  
Paul Comfort ◽  
Guy Gregory Haff ◽  
Steve Williams ◽  
...  
Keyword(s):  
Time Curve ◽  
Practical Guide ◽  
Force Time

scholarly journals Biomechanical assessment of various punching techniques

2020 ◽  
Author(s):  
Jiri Adamec ◽  
Peter Hofer ◽  
Stefan Pittner ◽  
Fabio Monticelli ◽  
Matthias Graw ◽  
...  
Keyword(s):  
High Speed ◽  
Vertical Wall ◽  
Force Plate ◽  
Physical Parameters ◽  
Time Curve ◽  
Biomechanical Assessment ◽  
Sports Science ◽  
General Terms ◽  
Force Time ◽  
The Impact

Abstract Punches without the use of instruments/objects are a common type of body violence and as such a frequent subject of medicolegal analyses. The assessment of the injuries occurred as well as of the potential of the assault to produce severe body harm is based on objective traces (especially the documented injuries of both parties involved) as well as the—often divergent—descriptions of the event. Quantitative data regarding the punching characteristics that could be used for the assessment are rare and originate mostly in sports science. The aim of this study was to provide physical data enabling/facilitating the assessment of various punching techniques. A total of 50 volunteers took part in our study (29 males and 21 females) and performed severe punches with the fist, with the small finger edge of the hand (karate chop), and with the open hand with both the dominant and the non-dominant hands in randomized order. The strikes were performed on a boxing pad attached to a KISTLER force plate (sampling frequency 10,000 Hz) mounted on a vertical wall. The punching velocity was defined as the hand velocity over the last 10 cm prior to the contact to the pad and ascertained by using a high-speed camera (2000 Hz). Apart from the strike velocity, the maximum force, the impulse (the integral of the force-time curve), the impact duration, and the effective mass of the punch (the ratio between the impulse and the strike velocity) were measured/calculated. The results show a various degree of dependence of the physical parameters of the strikes on the punching technique, gender, hand used, body weight, and other factors. On the other hand, a high degree of variability was observed that is likely attributable to individual punching capabilities. In a follow-up study, we plan to compare the “ordinary” persons with highly trained (boxers etc.) individuals. Even though the results must be interpreted with great caution and a direct transfer of the quantitative parameters to real-world situations is in general terms not possible, the study offers valuable insights and a solid basis for a qualified forensic medical/biomechanical assessment.

Boom System Kinematic Simulation of Truck-Mounted Concrete Pump

2011 ◽  
Vol 201-203 ◽  
pp. 185-188 ◽  
Author(s):  
Xin Xiang Zhou ◽  
Nan Nan Ren ◽  
Shu Jun Guo ◽  
Yan Ling Tang ◽  
Rong Liang Tian
Keyword(s):  
Working Conditions ◽  
Three Dimensional ◽  
Paper Study ◽  
Time Curve ◽  
Kinematic Simulation ◽  
Simulation Process ◽  
Solid Works ◽  
Force Time ◽  
Concrete Pump ◽  
A Company

In this paper, we study the boom of truck-mounted concrete pump from a company. After analyzing, we determine that the four booms extending horizontally is the most dangerous working conditions. We use the software Solid Works to design three-dimensional entity. With the help of Cosmos Motion which is a part of Solid Works, realizing the kinematic simulation. This paper study and analyze the problems during the simulation process, and collect a series of curves of kinematic simulation, mainly including the place-time curve, velocity-time curve and force-time curve, and analyze these curves detailedly.

Reliability of Isometric Force-time Curve Parameters for Men Aged 20 to 79 Years

1992 ◽  
Vol 6 (3) ◽  
pp. 158
Author(s):  
Michael G. Bemben ◽  
Benjamin H. Massey ◽  
Richard A. Boileau ◽  
James E. Misner
Keyword(s):  
Isometric Force ◽  
Time Curve ◽  
Force Time

Force–Time Curve Characteristics of Dynamic and Isometric Muscle Actions of Elite Women Olympic Weightlifters

2005 ◽  
Vol 19 (4) ◽  
pp. 741 ◽  
Author(s):  
G. Gregory Haff ◽  
Jon M. Carlock ◽  
Michael J. Hartman ◽  
J. Lon Kilgore ◽  
Naoki Kawamori ◽  
...  
Keyword(s):  
Time Curve ◽  
Force Time ◽  
Muscle Actions ◽  
Isometric Muscle

The Influence Of Foot Stance On Force-Time Curve Parameters During Hand Grip Performance

2016 ◽  
Vol 48 ◽  
pp. 92
Author(s):  
Michael B. La Monica ◽  
David H. Fukuda ◽  
Tyler W.D. Muddle ◽  
Kyle S. Beyer ◽  
Ran Wang ◽  
...  
Keyword(s):  
Time Curve ◽  
Hand Grip ◽  
Force Time
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