ConductVision · Behavioral Analysis

Gait Analysis

AI-powered paw tracking and stride analysis for naturalistic voluntary locomotion.

RodentMotor & GaitAuto Export
ConductVision / Gait Analysis
stride105 cm walkway
Recording / Trial 3subject tracked
Stride Length6.2cm
Duty Factor62%
Velocity18.4cm/s

Key Parameters

Metrics automatically extracted by ConductVision.

Stride Length

Distance from foot strike to subsequent strike of the same foot

Stance Time

Duration each limb remains in ground contact per stride cycle

Swing Time

Duration each limb is airborne between stance phases

Duty Factor

Ratio of stance time to total stride time — indicates support phase proportion

Gait Velocity

Walking speed — critical normalization factor for all gait parameters

Stride Symmetry

Left-right timing comparison across corresponding limbs

+ 12 more parameters trackedShow all

Step Length

Distance from one foot strike to the opposite foot's next strike

Step Width

Lateral distance between limbs perpendicular to direction of travel

Base of Support

Distance between left and right paws during simultaneous stance

Limb Phase

Coordination timing between forelimb and hindlimb on the same side

Paw Placement Variability

Consistency of paw positioning across successive strides

Stride Length Asymmetry

Left-right stride length difference — lateralized injury indicator

Temporal Symmetry

Timing differences between right and left foot strikes within a cycle

Head-Body Alignment

Angular deviation between head orientation and body axis during locomotion

Tail Coordination

Tail movement pattern relative to body center during locomotion

Stance/Swing Ratio

Relative time in stance vs. swing phases — shifts with pain or injury

Footprint Intensity

Paw pressure distribution and contact area during stance phase

Weight Distribution

Load sharing across four limbs — reveals compensatory unloading

What is Gait Analysis?

Gait analysis quantifies how rodents walk by tracking paw positions, stride timing, and body alignment during voluntary locomotion on a walkway. ConductVision employs an unsupervised Hidden Markov Model to automatically classify stance and swing states, enabling label-free identification of stride cycles without manual annotation. The system tracks nose, forepaws, hindpaws, and body center at 120 fps.

Unlike treadmill-based systems that impose a fixed speed, ConductVision captures naturalistic voluntary crossings — preserving spontaneous gait compensations that forced locomotion can mask. Standardized CSV and PDF outputs enable direct statistical comparison across cohorts and longitudinal time points.

Protocol Parameters

ParameterDescriptionDefault
Walkway Length (Mouse)Traversable corridor length105 cm
Walkway Length (Rat)Traversable corridor length130 cm
Walkway WidthCorridor width maintaining natural gait10 cm
Walkway HeightWall height enclosing the corridor10 cm
Camera Frame RateHigh-speed capture for paw-level resolution120 fps
Camera ResolutionCalibrated video resolution1080p
IlluminationDual green edge rails + red overhead for paw-contact visibilityGreen + Red LED
Clean Crossings per SubjectMinimum voluntary crossings for statistical stability3–5 crossings
Pre-HabituationFamiliarization with walkway surface and lightingRecommended
Surface CleaningEthanol wipe between subjects to eliminate odor cues70% ethanol
Velocity NormalizationSpeed-matched analysis to control velocity-dependent parametersRequired

Interpreting Results

Reduced Stride Length

Shortened strides indicate pain-related guarding, musculoskeletal injury, or neurodegenerative motor decline — must be normalized for velocity.

Increased Duty Factor

Longer stance phase relative to stride time — compensatory weight-bearing seen in arthritis, neuropathic pain, and spinal cord injury.

Increased Stride Asymmetry

Left-right stride length differences indicate unilateral injury — lateralized pain, stroke, or hemisection models.

Increased Step Width

Wider base of support is a compensatory stability strategy — seen in cerebellar ataxia, vestibular dysfunction, and spinal cord injury.

Reduced Gait Velocity

Slower voluntary walking speed — must be reported as a covariate since most gait parameters are velocity-dependent.

Altered Limb Phase Coordination

Disrupted forelimb-hindlimb timing — indicates loss of interlimb coordination from spinal or supraspinal lesions.

Research Applications

Pain & Musculoskeletal

  • Osteoarthritis — stride length and duty factor changes track disease progression and treatment response
  • Neuropathic pain — gait compensations as objective pain indicators complementing von Frey thresholds
  • Bone fracture healing — longitudinal weight-bearing recovery quantified by footprint intensity

Neurological Injury

  • Spinal cord injury — stride symmetry and interlimb coordination as functional recovery endpoints
  • Stroke — lateralized gait asymmetry correlating with infarct size and hemisphere
  • Traumatic brain injury — comprehensive motor phenotyping across recovery timeline

Neurodegeneration & Aging

  • Parkinson's disease — progressive stride shortening and velocity reduction in 6-OHDA and alpha-synuclein models
  • ALS — longitudinal gait deterioration tracking motor neuron loss
  • Age-related motor decline — normative gait parameter databases across the lifespan

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