Related Experiment Video
Updated: May 11, 2025
10:52
Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
Published on: April 13, 2016
8.7K
Characterizing Human Perception of Speed Differences in Walking: Insights From a Drift Diffusion Model.
Marcela Gonzalez-Rubio1, Gelsy Torres-Oviedo2,3, Pablo A Iturralde1,3,4
1Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA 15260.
Eneuro
|April 17, 2025
Summary
Humans can accurately sense subtle speed changes during walking, a key finding for understanding sensorimotor adaptation. This research applies perceptual models to walking, revealing insights into sensory processing during locomotion.
Area of Science:
- Neuroscience
- Human Motor Control
- Perception
Background:
- Sensation is crucial for motor control but less studied than motor output in adaptation.
- Measuring internal sensory variables non-invasively during locomotion is challenging.
Purpose of the Study:
- To investigate the accuracy of sensing sensory stimuli that drive locomotor adaptation.
- To explore the perceptual processes involved in walking using a split-belt treadmill.
Main Methods:
- A split-belt treadmill induced locomotor adaptation with varying speed differences.
- A two-alternative forced-choice paradigm assessed perceptual accuracy.
- A drift-diffusion model (DDM) analyzed stimulus identification and reaction times.
Main Results:
- Participants identified a 49.7 mm/s speed difference (4.7% Weber Fraction) with 75% accuracy at 1.05 m/s.
- The drift-diffusion model accurately predicted stimulus identification using reaction times.
- Perceptual performance exceeded previous reports for similar speed differences.
Conclusions:
- Individuals possess a refined ability to detect speed variations during walking.
- Perception during walking aligns with evidence accumulation models, similar to static sensory tasks.
- This study bridges the gap between internal sensation and motor adaptation research.
