scholarly journals Force and Position Control in Humans - The Role of Augmented Feedback

Author(s):  
Benedikt Lauber ◽  
Martin Keller ◽  
Christian Leukel ◽  
Albert Gollhofer ◽  
Wolfgang Taube
1988 ◽  
Vol 7 (4) ◽  
pp. 289-301 ◽  
Author(s):  
Regina Markland ◽  
Thomas J. Martinek

This study examined the nature and amount of feedback that more successful and less successful high school varsity volleyball coaches gave to their starting and nonstarting volleyball players. Two of the four coaches studied were considered more successful and two were considered less successful, based on previous regular season win-loss percentages. Players of all the coaches (N=41) were also used as subjects and identified as having either a starting or nonstarting role on the team. All subjects were observed on three occasions for 30 minutes per observation during regular season practice. The Cole Descriptive Analysis System (Cole-DAS) was used to observe coach augmented feedback as it was given to individual players in response to skilled performance. A 2 × 2 multivariate analysis of variance was used to describe the effects of (a) success of the coach, (b) role of the player, and (c) both success of the coach and role of the player on the dependent variables of coach augmented feedback. Results indicated that successful coaches varied considerably from less successful coaches in the types of feedback given to their players. Starting players were also found to receive significantly more audio, audiovisual, and immediate terminal feedback than nonstarting players.


Zoology ◽  
2015 ◽  
Vol 118 (1) ◽  
pp. 51-62 ◽  
Author(s):  
Sandra J. Niederschuh ◽  
Hartmut Witte ◽  
Manuela Schmidt

1993 ◽  
Vol 115 (2B) ◽  
pp. 291-300 ◽  
Author(s):  
David E. Hardt

The discipline of control has had numerous yet sporadic contacts with the manufacturing world over the past few decades, almost always as an afterthought or addendum, and typically in the role of machine and not as process control. Much of this detachment comes from an absence of control techniques that can deal directly with the actual manufacturing process, i.e., a material transformation process that produces a desired object both in terms of specific geometry and internal properties. Instead, most efforts have focused on using existing methods on process independent problems, such as position control and trajectory following, or on straightforward process parameter control, thereby only indirectly influencing the actual process output. This paper presents the reasons behind and the means to eliminate this estrangement, using the author’s own research as an example of a more direct approach to process modeling and control.


Cureus ◽  
2021 ◽  
Author(s):  
Arsalan Moinuddin ◽  
Ashish Goel ◽  
Yashendra Sethi

2017 ◽  
Vol 595 (15) ◽  
pp. 5359-5374 ◽  
Author(s):  
Lei Zhang ◽  
Nicolas A. Turpin ◽  
Anatol G. Feldman

2010 ◽  
Vol 22 (4) ◽  
pp. 215-227 ◽  
Author(s):  
Benjamin L. Patritti ◽  
Monica Sicari ◽  
Lynn C. Deming ◽  
Fernanda Romaguera ◽  
Marlena M. Pelliccio ◽  
...  

2020 ◽  
Author(s):  
Holly A. Knapp ◽  
Blaire A. Sobolewski ◽  
Jesse C. Dean

AbstractHip abductor proprioception contributes to the control of mediolateral foot placement, which varies with step-by-step fluctuations in pelvis dynamics. While prior work has used hip abductor vibration as a sensory perturbation to investigate this role of hip proprioception, we here tested whether time-varying vibration can predictably manipulate the relationship between pelvis dynamics and foot placement. We compared participants’ (n=32; divided into two groups of 16 with slightly different vibration control) gait behavior across four treadmill walking conditions: 1) No feedback; 2) Random feedback, with vibration unrelated to pelvis motion; 3) Augmented feedback, with vibration designed to evoke proprioceptive feedback paralleling the actual pelvis motion; 4) Disrupted feedback, with vibration designed to evoke proprioceptive feedback inversely related to pelvis motion. We hypothesized that the relationship between pelvis dynamics and foot placement would be strengthened by Augmented feedback but weakened by Disrupted feedback. For both participant groups, the strength of the relationship between pelvis dynamics at the start of a step and foot placement at the end of a step was significantly (p≤0.0002) influenced by the feedback condition. This metric was highest with Augmented feedback, but not significantly reduced with Disrupted feedback, partially supporting our hypotheses. Our approach to augmenting proprioceptive feedback during gait may have implications for clinical populations with a weakened relationship between pelvis motion and foot placement.


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