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Published on: April 13, 2016
Preferred step frequency minimizes veering during natural human walking
Azusa Uematsu1, Koh Inoue, Hiroaki Hobara
1School of Health and Sport Sciences, Osaka University of Health and Sport Sciences, Sennan-gun 590-0496, Japan. azusa-gold@toki.waseda.jp
Neuroscience Letters
|November 5, 2011
Summary
Walking at your preferred step frequency helps maintain a straight path without visual cues. Altering step frequency increases veering when blindfolded, suggesting preferred cadence optimizes gait stability.
Area of Science:
- Human locomotion
- Gait analysis
- Sensorimotor control
Background:
- Humans rely on visual information to maintain a straight walking path.
- Deviation from a straight path, known as veering, is exacerbated in the absence of visual input.
- The role of step frequency in modulating veering magnitude is not fully understood.
Purpose of the Study:
- To investigate the effect of different step frequencies on the magnitude of veering in healthy adults.
- To determine if a preferred step frequency minimizes veering when visual information is absent.
- To explore the relationship between gait stability and preferred walking cadence.
Main Methods:
- Participants walked 16 meters at preferred, low (0.8x preferred), and high (1.2x preferred) step frequencies.
- Walking trials were conducted both with and without a blindfold to manipulate visual information.
- Veering was quantified by comparing estimated and measured points of crossing a target line.
Main Results:
- No significant differences in veering were observed across step frequencies when participants had visual input.
- With a blindfold, veering was significantly smallest at the preferred step frequency (91.6 ± 33.6 cm).
- Veering magnitude increased substantially at low (204.3 ± 43.0 cm) and high (112.7 ± 34.0 cm) step frequencies when blindfolded.
Conclusions:
- Preferred step frequency is crucial for minimizing gait veering in the absence of visual information.
- This finding suggests that preferred walking cadence optimizes gait stability and reduces reliance on visual cues.
- The results may be linked to the known minimization of movement variability, energy cost, and attentional demand at preferred step frequencies.

