Folio3 designs and engineers bespoke AI-powered gait and motion analysis systems that turn ordinary video from smartphones, tablets, or fixed cameras into clinical-grade biomechanical data. We build custom markerless motion capture engines tailored to your use case.
True biomechanical analysis has traditionally required $100,000+ motion capture labs, force plates, and dedicated facilities. This makes gait analysis inaccessible for everyday clinics, apps, and retail environments.
Attaching reflective markers is slow, intrusive, and impractical for real-world use. It breaks user experience and limits scale.
Visual “eyeballing” by clinicians misses subtle asymmetries and micro-deviations. You get inconsistent, non-quantified assessments.
Force plates, treadmills, and specialized hardware drive cost, maintenance, and operational friction.
Step length and stride length Step width and foot placement Joint positions and trajectories
Cadence (steps per minute) Ground contact time Stance vs swing phase duration Full gait cycle timing
Hip, knee, and ankle joint angles Range of motion (ROM) per joint Angular velocity and motion smoothness
Pronation and supination angles Left vs right symmetry index Compensation patterns and asymmetries Gait deviations and stability indicators
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Automate patient progress tracking after knee, hip, or neurological rehabilitation. Measure ROM, stride symmetry, walking speed, and movement quality over time with objective, repeatable metrics.
We train and adapt pose estimation models (based on OpenPose, MediaPipe, and custom architectures) to track 33+ anatomical landmarks, with special focus on the lower body: hips, knees, ankles, heels, and toes.
Our motion logic engine automatically segments the gait cycle into stance and swing phases, enabling precise calculation of timing, contact, and transitions.
Using scene calibration (floor plane, reference object, or camera geometry), we convert pixel movement into real-world distances and speeds such as step length and walking velocity.
The system compares left vs right mechanics in real time, detecting compensations, imbalances, and injury-risk patterns.
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A digital health platform needed reliable, clinical-grade gait metrics from smartphone video in real-world environments. Folio3 AI engineered a custom markerless gait analysis system that transformed standard video into calibrated biomechanical insights, seamlessly embedded into the client’s product workflow. Outcomes: Clinical-grade gait intelligence Markerless smartphone-based analysis Automated, faster performance assessments Scalable deployment across training environments
Whether you are building a clinical platform, a sports app, or a smart retail experience, Folio3 provides the engineering team, AI expertise, and system architecture to make it real.
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Contact us at +1 408 365-4638 or email us using the form below. via contact@folio3.ai
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+1 408 365-4638
contact@folio3.ai
6701 Koll Center Parkway, #250 Pleasanton, CA 94566
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