Motor abundance and control structure in the golf swing

Morrison, Andrew P.; McGrath, Denise; Wallace, Eric S.

doi:10.1016/j.humov.2016.01.009

Cited by 14 publications

(16 citation statements)

References 47 publications

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“…J 3D,LSQ is therefore capable of accounting for the additional portion of joint variability that users were employing to minimize the angular displacement between the tool end-effector direction and the tangent to the path. Similar results were observed in pistol shooting [38] and golf swing [39] experiments: users were utilizing part of the joint variability to finely control the tools orientation rather than its sole position. On the other hand, contrary to previous studies [39], [41], the level of redundancy exploitation is constant through the task execution.…”

Section: Hp3supporting

confidence: 75%

“…Similar results were observed in pistol shooting [38] and golf swing [39] experiments: users were utilizing part of the joint variability to finely control the tools orientation rather than its sole position. On the other hand, contrary to previous studies [39], [41], the level of redundancy exploitation is constant through the task execution. This is likely because our tracing task requires a continuous control over the tool orientation, whereas golf and table-tennis players must coordinate their arm kinematics especially when the club/racket hits the ball.…”

Section: Hp3supporting

confidence: 75%

“…Quantifying the control of orientation was recently shown to be promising for assessment of surgical skills [36], [37]. Only few previous studies analyzed how tasks that require control of orientation affected motor redundancy exploitation using the UCM approach, [38], [39]. For example, Morrison et al recently showed how golfers used different levels of redundancy exploitation through the golf swing execution, and that they favored the control of the golf clubhead orientation rather than its position.…”

Section: Introductionmentioning

confidence: 99%

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An Uncontrolled Manifold Analysis of Arm Joint Variability in Virtual Planar Position and Orientation Telemanipulation

Buzzi

Momi

Nisky³

2019

IEEE Trans. Biomed. Eng.

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Abstract-Objective: In teleoperated robot-assisted tasks, the user interacts with manipulators to finely control remote tools. Manipulation of robotic devices, characterized by specific kinematic and dynamic proprieties, is a complex task for the human sensorimotor system due to the inherent biomechanical and neuronal redundancies that characterize the human arm and its control. We investigate how master devices with different kinematics structures and how different task constraints influence users capabilities in exploiting arm redundancy. Methods: A virtual teleoperation workbench was designed and the arm kinematics of seven users was acquired during the execution of two planar virtual tasks, involving either the control of position only or position-orientation of a tool. Using the UnControlled Manifold Analysis of arm joint variability we estimated the logarithmic ratio between task irrelevant and the task relevant manifolds (Rv). Results: The Rv values obtained in the position-orientation task were higher than in the position only task while no differences were found between the master devices. A modulation of Rv was found through the execution of the position task and a positive correlation was found between task performance and redundancy exploitation. Conclusion: Users exploited additional portions of arm redundancy when dealing with the tool orientation. The Rv modulation seems influenced by the task constraints and by the users possibility of reconfiguring the arm position. Significance: This work advances the general understanding of the exploitation of arm redundancy in complex tasks, and can improve the development of future robotic devices.

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Section: Hp3supporting

confidence: 75%

Section: Hp3supporting

confidence: 75%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Uncontrolled Manifold Analysis of Arm Joint Variability in Virtual Planar Position and Orientation Telemanipulation

Buzzi

Momi

Nisky³

2019

IEEE Trans. Biomed. Eng.

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“…According to this view, there is no infinitude of motoric variables to stipulate at very fine grains, and on the contrary, task or intention organizes the movement system at the relatively coarse grain of the whole body and context [3]. This positive view of motor abundance appears in recent studies of aiming behaviors like the golf swing, whereby a clearly defined target in the context draws visual attention away from specific postures of the body, and indeed, experts with their eyes on the target show no single optimized mode of execution [4]. Hence, instead of requiring explicit choreography, the movement system's organization may readily emerge from perceptual linkages to the surrounding context [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Multifractality in postural sway supports quiet eye training in aiming tasks: A study of golf putting

Jacobson¹,

Berleman-Paul²,

Mangalam

et al. 2020

Preprint

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The 'quiet eye' (QE) approach to visually-guided aiming behavior invests fully in perceptual information's potential to organize coordinated action. Sports psychologists refer to QE as the stillness of the eyes during aiming tasks and increasingly into self- and externally-paced tasks. Amidst the 'noisy' fluctuations of the athlete's body, quiet eyes might leave fewer saccadic interruptions to the coupling between postural sway and optic flow. Multifractality in postural sway is a robust predictor of both visual and haptic perceptual responses. Postural sway generates optic flow centered on an individual's eye height. So, we manipulated the eye height part way through a golf-putting task for participants trained in QE or trained technically as per conventional golf putting. We predicted that perturbing the eye height by attaching wooden blocks below the feet would perturb the putting more so in QE-trained participants than in those trained technically. We also predicted that responses to this perturbation would depend on multifractality in postural sway. Specifically, we predicted that less multifractality would predict more adaptive responses to the perturbation and higher putting accuracy. Results supported both predictions. QE training and lower multifractality led to more frequent successful putts, and the perturbation of eye height led to less frequent successful putts, particularly for QE-trained participants. Models of radial error (i.e., the distance between the ball's final position and the hole) indicated that lower estimates of multifractality due to nonlinearity coincided with a more adaptive response to the perturbation. These results challenge the past suggestions that reduced multifractality might be a signature of diseased posture. Instead, they suggest that reduced multifractality may act in a context-sensitive manner to restrain motoric degrees of freedom to achieve the task goal.

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“…The covariation among joint angles was observed in treadmill walking to stabilize the position of center of mass and step parameters (Verrel et al, 2010). Although the adopted method is different, the covariations among joint angles were observed to be in control of the hand path velocity and movement direction in Frisbee throwing while restricting trunk movement (Yang and Scholz, 2005) and in the orientation of the clubhead during a driver shot in golf (Morrison et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Consistent Hand Dynamics Are Achieved by Controlling Variabilities Among Joint Movements During Fastball Pitching

Matsuo

Jinji

Hirayama

et al. 2020

Front. Sports Act. Living

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This study aimed to determine whether covariations among joint movements are utilized to stabilize hand orientation and movement and to determine which of the upper or lower extremities make effective use of the covariation. Joint angles during pitching were measured in 12 skilled baseball pitchers, using a motion capture system. The joint angles in 10 successful trials were used for the reconstructed motions. The reconstructed motion in the first condition was the same as for the measured motion. In the second condition, the reconstructed motion was generated with joint angles that were pseudo-randomly selected to artificially break off covariation in the measured joint-angle combination. In the third and fourth conditions, the reconstructed motions were generated with the same joint-angle combinations as the measured angles in the throwing arm and the stride leg, respectively, but pseudo-randomly selected in the other joint angles. Ten reconstructed motions were generated for each condition. Standard deviations (SDs) of hand orientation and movement direction were calculated and compared among the conditions. All SDs for the first condition were the smallest among the conditions, indicating that the movements in the measured condition used the covariation in joint angles to make the hand movement stable. The results also illustrated that some SDs in the fourth condition were smaller than those in the third condition, suggesting that the lower extremity made effective use of the covariation. These results imply that it is necessary not only to reduce variability in each joint but also to regulate joint movements to stabilize hand orientation and movement.

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Motor abundance and control structure in the golf swing

Cited by 14 publications

References 47 publications

An Uncontrolled Manifold Analysis of Arm Joint Variability in Virtual Planar Position and Orientation Telemanipulation

An Uncontrolled Manifold Analysis of Arm Joint Variability in Virtual Planar Position and Orientation Telemanipulation

Multifractality in postural sway supports quiet eye training in aiming tasks: A study of golf putting

Consistent Hand Dynamics Are Achieved by Controlling Variabilities Among Joint Movements During Fastball Pitching

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