A New Standard in Gait Analysis for Stroke Rehab Research
ConductVision revolutionizes this space with an AI-driven, fully markerless solution that captures subtle, clinically significant deviations in human movement in real time.
Fully Markerless
No need for reflective markers or wearable sensors
Uses advanced video-based AI pose estimation
Minimal setupājust standard cameras in natural lab or hallway environments
Real-Time 3D Reconstruction
Instant skeletal tracking with 3D overlay visualization
Compatible with standard HD or depth-sensing cameras
Provides rich, real-time feedback during capture sessions
Advanced Analytics
Our system helps researchers analyze animal behavior without physical markers, aligning with best practices such as Science Megazine
Employs unsupervised machine learning to detect nuanced "movement phenotypes"
Helps researchers identify fall risks and motor anomalies
Enables objective and reproducible assessments beyond human eye limitations
Multi-Camera or Single-Camera Options
Flexible configuration to match lab needs and budget
Supports both multi-angle tracking and simplified single-view setups
Key Features
High-Frequency Tracking
Tracks at 30+ frames per second to capture even the most subtle fluctuations in gait.
Trunk Sway & Inter-Limb Analysis
Measures balance, posture control, and bilateral coordination with precision.
Integrated Workflow
Seamlessly captures, processes, and exports data via a built-in dashboard designed to meet NIH Data Management & Sharing (DMS) guidelines.
Unsupervised Phenotyping
Identifies emerging movement risk signatures that conventional systems missāideal for early-stage clinical research.
User-Friendly GUI
Minimal learning curve. No coding required. Researchers can launch a session and extract results in minutes.
How It Works
A simple, four-step workflow makes high-quality gait analysis more accessible than ever
Step 1: Capture
Set up standard HD cameras in a lab, rehab facility, or hallway. No specialized equipment needed.
Step 2: Track
ConductVisionās AI automatically detects and tracks skeletal landmarks in real time.
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Step 3: Analyze
Extract rich metrics such as:
Trunk sway
Step length
Gait speed
Stance/swing time
Limb asymmetry
Step 4: Interpret
Visualize data through:
Heatmaps
Kinematic graphs
Exportable files for use in statistical analysis software or custom research pipelines.
Real-World Impact of Markerless Gait Analysis
Explore how ConductVision powers movement research across clinical and neurological domainsāstarting with stroke rehabilitation.
Gait Analysis for Stroke Rehabilitation
Ā The Clinical Challenge
Stroke is one of the leading causes of adult disability.
Traditional tools like rater-based scales and wearable sensors are subjective, slow, and often miss micro-level motor deficits.
Why Subtle Deviations Matter
Trunk sway, step variability, and asymmetries are early indicators of mobility decline.
These factors often precede falls and functional regression.
ConductVisionās Advantage
Fully markerless and unobtrusive for participants.
AI-powered tracking and analytics detect what clinicians canāt see.
Validated specifically for post-stroke gait patterns.
Key Value Propositions
Markerless AI
No sensors or reflective markers needed; track human gait seamlessly.
High-Fidelity Kinematics
Extract trunk sway, step variability, and subtle asymmetries at 30+ FPS.
Validated for Stroke
Refined algorithms specifically tuned to post-stroke gait deviations.
Turnkey Research Platform
Accessible software-hardware bundle thatās easy for any lab to adopt.
Beyond Stroke: Broader Research Applications
Parkinsonās Disease
āIdentify tremor-induced gait changes.ā
Track changes in step length, cadence, and balance.
Support longitudinal studies and medication efficacy.
Orthopedic & Prosthetic Testing
āAssess functional gait outcomes following surgical interventions.ā
Measure inter-limb compensation and range of motion
Compare pre- and post-op mobility with visual dashboards
Future Expansion
āScalable framework to analyze multiple neurological conditions, from TBI to MS.ā
Designed for modular sensor integration and machine-learning extensibility
Supports aging-related research and mobility tech development
Ready to Elevate Your Gait Research?
ConductVision empowers researchers, clinicians, and rehab specialists with next-generation, markerless gait analysisāno sensors, no hassle.
š” Experience the Future of Stroke Rehab Research
Whether you’re running a clinical study, publishing a paper, or exploring movement disorders, our platform offers the precision and usability your team needs.