OK GLASS HOW NERVOUS AM I? REAL-TIME FEEDBACK IN ROWING EXAMPLE : - - PowerPoint PPT Presentation

HOW NERVOUS AM I?

“OK GLASS”

EXAMPLE : FEEDBACK ON POWER LOSS DUE TO VELOCITY FLUCTUATIONS

REAL-TIME FEEDBACK IN ROWING

Lotte Lintmeijer

Faculty of Human Movement Sciences

CONTENT

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Ø Project: “the bigger picture”

Ø Background Ø Aim Ø Feedback Ø Power equation

Ø Example: “feedback on power loss”

Ø Aim of the study Ø Methods Ø Results Ø Conclusions

“THE BIGGER PICTURE

PROJECT

Faculty of Human Movement Sciences

BACKGROUND

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Previous research on influence of feedback on performance

Ø Motor learning

Ø In lab Ø Simple tasks Ø Novices

Ø Biomechanics

Ø New feedback technologies Ø Quantifying movement patterns

Ø Multi-disciplinary focus is required

(Bron: Philips et al.,2013)

Faculty of Human Movement Sciences

AIM OF THE PROJECT

Main Goal:

Ø Support coaches and rowers with

effective feedback in order to

• ptimize performance

Ø Insight in the power equation Ø Development of effective feedback tools

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Faculty of Human Movement Sciences

FEEDBACK

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Criteria for effective feedback (tools)

Ø A key to improve performance Ø Able to be adapted by the athlete Ø Measured valid and reliable

(Bron: Philips et al.,2013)

Faculty of Human Movement Sciences

EFFECTIVE FEEDBACK PARAMETERS IN ROWING:

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Kinematics as key variable: Is there a golden standard?

(Bron: Kleshnev, 2004)

Faculty of Human Movement Sciences

FEEDBACK PARAMETERS:

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Force curves as key variable: is there an optimum?

Bron: M. Hofmijster

A B C

Faculty of Human Movement Sciences

FEEDBACK PARAMETERS:

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Dutch National Champion A ‘random’ Amateur A World Champion

Bron: M. Hofmijster

A B C

Force curves as key variable: is there an optimum?

Faculty of Human Movement Sciences

FEEDBACK PARAMETERS:

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Force

Force should be related to velocity

Force x velocity = Power (Watt)

Pathlete= key variable for performance

Faculty of Human Movement Sciences

FEEDBACK PARAMETERS: POWER EQUATION

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Pathlete = - (Pdrag + Pblade+ P ∆V )

Effective Waste

Velocity fluctuations in rowing

Ø Large moving mass Ø No constant propulsion Ø More fluctuations is a need of more

power input for the same average speed

Faculty of Human Movement Sciences

FEEDBACK PARAMETERS: POWER EQUATION

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Advantages

Ø Force and velocity combined Ø Effect of the technique of rower visible Ø Search for Optimal trade-off

Faculty of Human Movement Sciences

FEEDBACK PARAMETERS: POWER EQUATION

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Key parameter (criteria 1) Adjustable (criteria 2) Measurable (criteria 3)

Pathlete

√ √

Pdrag

√ ?

Pblade

? ?

P∆V

? √

“THE EFFECT OF FEEDBACK ON POWER LOSSES DUE TO VELOCITY FLUCTUATIONS”

EXAMPLE STUDY

Faculty of Human Movement Sciences

EXAMPLE STUDY: AIM OF THE STUDY

Ø Aim:

Ø Examining whether rowers could adjust

their behavior due to feedback on P∆V

Ø Main Question:

Ø Is real-time feedback on velocity

fluctuations as effective in minimizing power losses as traditional coaching?

Ø Performance parameter: P∆V Ø Feedback parameter: P∆V

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Faculty of Human Movement Sciences

EXAMPLE STUDY: REAL-TIME FEEDBACK

Faculty of Human Movement Sciences

EXAMPLE STUDY: METHODS

Ø Feedback and outcome parameter:

Ø P∆V : Power loss due to velocity fluctuations

1 week 1 week

PP

Faculty of Human Movement Sciences

EXAMPLE STUDY: RESULTS

5 5,2 5,4 5,6 5,8 6 6,2 6,4 6,6 6,8 7 pretest posttest Power loss

Power loss during pretest and posttest with real-time feedback

Responders (3 pp) Non-responders (4 pp) Counter-Responders (2 pp)

• 1. Visual FB was rated

with a 7

• 2. Auditive FB was

rated with a 5.1

• 3. No change in P∆V
• 4. No difference

between effect of coach and effect of real-time feedback

• 5. Descriptives show

individual differences

Faculty of Human Movement Sciences

EXAMPLE STUDY: CONCLUSIONS

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Criteria

Ø P∆v as a key parameter Ø Adjustable for rowers? Ø Measurable?

Controlled field study

Ø Required Ø But time consuming Ø Noise

Next steps

Faculty of Human Movement Sciences

QUESTIONS?

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