Traversal metrics
Start-to-end traversal time, average speed, speed variability, and number of pauses per trial.
CSVJSON
← Capabilities
Balance Beam Motor Assessment
Automated motor coordination scoring on the balance beam
Quantify traversal time, foot slips, and motor coordination from standard video — replacing manual stopwatch-and-counter protocols.
30fps
Temporal resolution for slip detection
3
Beam widths supported
0
Manual scoring steps
100%
Automated from start to report
The problem
Balance beam scoring depends on observer attention
The balance beam test requires an observer to simultaneously time traversal, count foot slips, and rate overall coordination. Fast foot slips are easy to miss, and subjective rating scales introduce variability across scorers and sessions.
- Foot slips happen in under 100 ms — faster than reliable human detection during live scoring
- Subjective 0-4 coordination scales vary across scorers and over long scoring sessions
- Simultaneous timing and counting creates divided attention that degrades both measures
The solution
Video-based automated beam walk analysis
ConductVision tracks paw position relative to beam edges at 30 fps. Foot slips are detected as paw excursions below the beam surface, traversal time is calculated from beam entry to exit, and overall coordination is scored objectively from kinematic features.
- Paw tracking at 30 fps catches foot slips that human observers miss
- Traversal time automatically measured from beam entry to beam exit
- Objective coordination score derived from speed variability, slip frequency, and pause duration
Endpoints
Balance beam motor measures
Foot slip log
Each foot slip event with timestamp, paw identity (left/right, fore/hind), and slip magnitude.
CSV
Motor coordination score
Composite score integrating traversal speed, slip rate, and pause frequency into a single motor coordination index.
CSV
Applications
Motor function paradigms
Progressive motor decline monitoring
Longitudinal balance beam testing tracks motor decline in ALS, Huntington, and Parkinson models with objective metrics that detect subtle changes before gross impairment.
Measures
- Slip rate progression
- Traversal time trend
- Coordination score decline
Post-stroke motor rehabilitation
Beam walk performance after experimental stroke quantifies unilateral motor deficits and recovery trajectory over weeks.
Measures
- Ipsilateral vs. contralateral slips
- Recovery curve
- Speed normalization
Motor side-effect profiling
Beam walk sensitivity to sedation, ataxia, and motor impairment enables dose-response motor safety profiling.
Measures
- Slip count by dose
- Speed reduction
- Coordination score change
Cerebellar ataxia phenotyping
Cerebellar mutants show characteristic beam walk deficits — wider beam widths reveal graded impairment.
Measures
- Performance across beam widths
- Slip pattern analysis
- Learning across trials
Compared to typical systems
How ConductVision differs
| Feature | ConductVision | Typical systems |
|---|---|---|
| Foot slip detection | Automated at 30 fps | Manual live count |
| Traversal timing | Frame-accurate start/end | Manual stopwatch |
| Coordination scoring | Objective kinematic composite | Subjective 0-4 scale |
| Paw-specific slip data | Yes — per-paw identification | Total slip count only |
| Batch processing | Unlimited sessions overnight | One session per scorer at a time |
Related capabilities
Gait Analysis
HMM-based stride detection from standard video with per-paw metrics — no treadmill or pressure plate required.
Pose Estimation
Multi-keypoint body part tracking — head, paws, tail, body center — with pretrained and custom model support.
Precision Tracking
High-resolution 30 fps tracking that captures sub-second behavioral events conventional systems miss.
Objective motor scoring from your existing beam walk videos
Upload beam walk recordings and get automated foot slip counts and coordination scores.
