For research, medical & sport applications

BiomechanicalReconstruction

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Checkmark160+ parameters
CheckmarkNo sensors required
CheckmarkUse any
video format

Where Conventional Motion Analysis Falls Short

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Skeletal & Joint Reconstruction

Skeletal & Joint Reconstruction

  • Extract 3D joint positions and bone segment orientations from 2D or multi-camera video
  • Compute joint angles across full range of motion for all major joints
  • Generate per-frame skeletal models from single-view footage without depth sensors
  • Robust to partial occlusion, low resolution, and variable lighting conditions
Quantified Biomechanical Output

Quantified Biomechanical Output

  • Derive velocity, acceleration, and estimated ground reaction force vectors
  • Produce full gait cycle analysis: cadence, stance phase, swing phase, step symmetry
  • Identify compensatory movement patterns and asymmetries frame-by-frame
  • Exportable data in standard formats: CSV, JSON, C3D-compatible output
Retrospective Analysis of Existing Material

Retrospective Analysis of Existing Material

  • Analyse pre-existing CCTV, dashcam, bodycam, or clinical video recordings
  • No need for controlled conditions, treadmills, or calibration equipment
  • Reconstruct incident mechanics from footage captured at the time of an event
  • Apply analysis to archival footage for longitudinal or comparative studies

Where Kinerva Delivers Insight

Clinical Trials
Sport Medicine
Cognitive Screening
Regular Check-Ups
Clinical Trials
Sport Medicine
Cognitive Screening
Regular Check-Ups

Extract the Data Your Footage Already Contains

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Clinical Partners

Hungarian National Institute of Clinical Neurosciences
Imperial College London
Hungarian National Institute of Clinical Neurosciences
Imperial College London

Main Benefits

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Recent blog posts

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Featured

Discovering the Periodic Table of Movement Analysis

What began as research into handwriting and cursor movement ultimately pointed toward a broader insight: human movement becomes operationally useful when it can be described in a structured, measurable way. That same foundation now connects naturally to gait recognition and biometric video intelligence, where movement-based signal can support analysis when facial information alone is not enough.

Tolmács Márk (Dexilion)04/05/2026
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Featured

Describing Movement Patterns with Scalar Values

How long movement traces are transformed into structured scalar features, and why that step is fundamental to serious motion analysis.

Tolmács Márk (Dexilion)07/01/2026
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Featured

What You Need to Know About FRR and FAR

A practical guide to false rejection rate, false acceptance rate, and why serious biometric evaluation depends on more than a single performance number.

Akos Molnar07/04/2026
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Awards

Remote Monitoring Security Solution of the Year

Remote Monitoring Security Solution of the Year

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