Markerless Gait & Plantar Mapping in AFO Tuning

Markerless gait analysis in AFO assessment & tuning: Objective clinical decision support

In lower-limb orthotic management, visual gait observation has long been a foundational skill. Experienced orthotists and physical therapists can identify subtle kinematic deviations such as premature heel rise, knee hyperextension, or lateral trunk lean with remarkable accuracy. However, relying solely on observational gait analysis presents inherent challenges: it is qualitative, difficult to standardize across care teams, and offers no objective numerical baseline to track subtle progress over time.

While traditional motion capture gait laboratories equipped with retro-reflective markers and force plates provide gold-standard kinematic data, their cost, physical space requirements, and complex setup make them impractical for everyday O&P clinical practice.

The emergence of markerless video gait analysis bridges this gap. By leveraging computer vision and AI-driven pose estimation directly on mobile devices, clinicians can now capture dynamic, quantitative kinematic data in ordinary hallway environments. When evaluated alongside complementary plantar pressure insights, markerless gait analysis acts as a powerful clinical decision-support tool transforming observational impressions into precise digital design parameters.

Observational gait analysis relies on the clinician’s visual tracking of rapid, multi-planar joint movements. Factors such as patient clothing, shadows, and varying walking speeds can obscure subtle compensations.

Markerless gait technology utilizes advanced neural networks trained to detect key anatomical landmarks (hip, knee, ankle, and foot centers) across sequential video frames. Without applying physical markers or requiring specialized suits, the system automatically calculates key spatial-temporal and sagittal joint parameters in real time:

Does markerless gait analysis require special high-speed cameras or lighting?

How does combining markerless gait data with plantar pressure mapping improve AFO design?

Markerless gait analysis measures joint kinematics (angles and movement timing), while pressure mapping reveals load distribution under the foot. Combining both gives clinicians a complete picture of motion and force, ensuring the AFO shell controls both joint position and pressure distribution.

Can markerless gait capture be used for patients who require walking aids?

Yes. AI pose estimation models can identify lower-limb joint centers even when patients use canes, crutches, or walkers, allowing clinicians to evaluate dynamic movement across varying levels of mobility.

Technology as an augmentation, not a replacement

It is vital to emphasize that markerless gait technology is designed to augment clinical expertise, not replace the clinician's diagnostic reasoning. AI algorithms analyze video frames to present clear angle plots and temporal data, but it is the orthotist who interprets why a compensation occurs and decides how the orthotic shell should be shaped to correct it.

By pairing clinical evaluation with BenScan’s markerless gait capture and BenX’s parametric CAD controls, practitioners can move away from trial-and-error orthotic fitting toward data-driven, reproducible clinical excellence.

The integrated benefit: augmenting kinematics with load dynamics

Frequently Asked Questions (FAQs)

No. Advanced markerless systems like BenScan utilize standard mobile device cameras (e.g., tablets or smartphones) operating at normal frame rates. Assessments can be conducted in standard clinical corridors or treatment rooms without complex lighting setups.

From qualitative observation to comprehensive kinematic insights

While joint kinematics reveal how the leg is moving through space, loading mechanics reveal why certain kinematic compensations occur. Integrating markerless gait tracking with dynamic plantar pressure mapping provides a complete biomechanical picture:

• Kinematics (Gait): Identifies macro-level movement patterns, such as stance-phase knee hyperextension or swing-phase foot drop.

• Loading (Pressure): Correlates those joint angles with ground reaction forces, showing how Center of Pressure (CoP) movement drives or responds to joint alignment.

This combined insight gives clinicians a holistic baseline before committing to a final digital design.

Case example: managing stance-phase knee hyperextension

The 7-stage digital care journey: informing design through Motion

In a fully integrated digital workflow, gait analysis does not occur in isolated silos. It serves as a vital dynamic bridge between static anatomical capturing and parametric software design.

By conducting markerless gait capture and plantar load assessment early in the care cycle, clinicians establish an unbraced dynamic baseline. This ensures that the physical device designed in BenX addresses the actual biomechanical compensations occurring during dynamic movement, rather than relying solely on a static standing scan.

Having objective kinematic metrics corroborated by load distribution directly influences the specific design choices an orthotist makes during the CAD modification phase:

Clinical applications: how gait data translates into AFO design tuning

When markerless gait analysis reveals significant knee hyperextension (genu recurvatum) during mid-to-late stance, the clinician observes that ground reaction forces are passing too far anterior to the knee joint center. Cross-referencing this with a rapid progression of the Center of Pressure confirms an early forefoot loading pattern.

Using BenX, the orthotist can react by adjusting the sagittal alignment of the AFO ankle section setting a precise 2° to 5° dorsiflexed incline and reinforcing the posterior strut wall thickness to prevent flexural yield.

Objective verification and longitudinal outcome tracking

Beyond initial design, markerless gait analysis plays a crucial role during the Fitment and Follow-Up (Stage 7) phase. Once the patient receives their 3D-printed PA12 AFO, a repeat markerless gait test is performed via BenScan in seconds.

Comparing the unbraced baseline video capture against the braced trial allows the clinician to objectively verify improvement:

• Symmetry Resolution: Demonstrating equalized step timing between the affected and unaffected limbs.

• Kinematic Correction: Confirming that mid-stance knee extension parameters have returned to physiological norms.

• Payor Documentation: Providing clear, quantitative progress reports that demonstrate clinical efficacy to payors and medical directors.

How does gait data flow into the BenX design software?

Gait metrics captured during the BenScan assessment are stored directly within the patient’s unified digital chart. Clinicians reference these parameters side-by-side with the 3D surface model inside BenX when adjusting trimlines, flexural stiffness, and alignment angles.

Ready to bring objective motion data into your orthotic design workflow? Explore how BenX and BenScan combine markerless gait analysis with precision digital AFO manufacturing.