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Updated: Jan 19, 2026

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Movement Retraining using Real-time Feedback of Performance
Published on: January 17, 2013
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Immediate effect of visual, auditory and combined feedback on foot strike pattern
Chutima Phanpho1, Smita Rao2, Marilyn Moffat1
1Department of Physical Therapy, 380 Second Avenue, 4th Floor New York, New York 10010-5615, United States.
Gait & Posture
|September 28, 2019
Summary
Real-time wearable feedback can modify running foot strike patterns and reduce plantar loads, especially when combined with increased cadence. Auditory feedback may be more effective than visual feedback for foot strike modification in runners.
Area of Science:
- Biomechanics
- Sports Science
- Wearable Technology
Background:
- Real-time feedback shows promise for retraining runners.
- Few studies comprehensively assess feedback types for foot strike and cadence modification.
Purpose of the Study:
- To evaluate the impact of visual, auditory, and combined real-time feedback on foot strike patterns and plantar loads.
- To investigate changes in foot strike and plantar loading during treadmill running with wearable device feedback.
Main Methods:
- Fifteen recreational runners received real-time visual, auditory, or combined feedback via wearable devices.
- Participants ran at self-selected and increased cadences while plantar loads and initial contact location were measured.
- Repeated measures ANOVAs with Bonferroni correction analyzed statistical significance.
Main Results:
- Feedback significantly altered the center of pressure location (p < 0.01).
- Plantar loads showed significant interaction effects (region x feedback), with reduced heel/midfoot loads and increased forefoot/great toe loads.
- Auditory feedback demonstrated potential effectiveness in modifying foot strike patterns.
Conclusions:
- Real-time feedback, particularly auditory, can effectively modify foot strike and alter plantar load distribution.
- Combining foot strike modification with increased cadence shifts loading patterns anteriorly.
- Wearable devices offer a viable tool for real-time running gait analysis and intervention.

