Stride Length
Distance from foot strike to subsequent strike of the same foot
AI-powered paw tracking and stride analysis for naturalistic voluntary locomotion.
Metrics automatically extracted by ConductVision.
Distance from foot strike to subsequent strike of the same foot
Duration each limb remains in ground contact per stride cycle
Duration each limb is airborne between stance phases
Ratio of stance time to total stride time — indicates support phase proportion
Walking speed — critical normalization factor for all gait parameters
Left-right timing comparison across corresponding limbs
Distance from one foot strike to the opposite foot's next strike
Lateral distance between limbs perpendicular to direction of travel
Distance between left and right paws during simultaneous stance
Coordination timing between forelimb and hindlimb on the same side
Consistency of paw positioning across successive strides
Left-right stride length difference — lateralized injury indicator
Timing differences between right and left foot strikes within a cycle
Angular deviation between head orientation and body axis during locomotion
Tail movement pattern relative to body center during locomotion
Relative time in stance vs. swing phases — shifts with pain or injury
Paw pressure distribution and contact area during stance phase
Load sharing across four limbs — reveals compensatory unloading
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.
| Parameter | Description | Default |
|---|---|---|
| Walkway Length (Mouse) | Traversable corridor length | 105 cm |
| Walkway Length (Rat) | Traversable corridor length | 130 cm |
| Walkway Width | Corridor width maintaining natural gait | 10 cm |
| Walkway Height | Wall height enclosing the corridor | 10 cm |
| Camera Frame Rate | High-speed capture for paw-level resolution | 120 fps |
| Camera Resolution | Calibrated video resolution | 1080p |
| Illumination | Dual green edge rails + red overhead for paw-contact visibility | Green + Red LED |
| Clean Crossings per Subject | Minimum voluntary crossings for statistical stability | 3–5 crossings |
| Pre-Habituation | Familiarization with walkway surface and lighting | Recommended |
| Surface Cleaning | Ethanol wipe between subjects to eliminate odor cues | 70% ethanol |
| Velocity Normalization | Speed-matched analysis to control velocity-dependent parameters | Required |
Shortened strides indicate pain-related guarding, musculoskeletal injury, or neurodegenerative motor decline — must be normalized for velocity.
Longer stance phase relative to stride time — compensatory weight-bearing seen in arthritis, neuropathic pain, and spinal cord injury.
Left-right stride length differences indicate unilateral injury — lateralized pain, stroke, or hemisection models.
Wider base of support is a compensatory stability strategy — seen in cerebellar ataxia, vestibular dysfunction, and spinal cord injury.
Slower voluntary walking speed — must be reported as a covariate since most gait parameters are velocity-dependent.
Disrupted forelimb-hindlimb timing — indicates loss of interlimb coordination from spinal or supraspinal lesions.
Related paradigms
Track escape latency, search strategy, and head direction with automated analysis.
Measure anxiety-like behavior through open vs. closed arm exploration.
Gold-standard spatial learning and memory test with automated swim tracking.
Track locomotion, anxiety, and exploration in a novel open arena.
Assess anxiety through light vs. dark compartment preference with IR tracking.
Evaluate working memory and decision-making via spontaneous alternation.
Request a demo or contact our team to discuss how ConductVision can accelerate your research.