3D Gait assessment and monitoring

AI-powered, markerless gait assessment that quantifies movement patterns with
clinical-grade accuracy—no sensors, no wearables, just a single camera.

REMOBody-S Gait Analysis

Clinical-Grade 3D Gait
Assessment
in Real-World Environments

Markerless AI technology that measures gait, posture,
and movement patterns with clinical accuracy—using only a single camera.

Markerless 3D Gait Capture

Analyzes human gait using a single camera, capturing 3D joint movement without markers, sensors, or wearable devices.

Medical-Grade Motion Analysis

An AI-based medical device designed for clinical gait assessment, supporting rehabilitation, diagnosis, and movement research.

Comprehensive Gait & Body Metrics

Generates over 200 biomechanical measurements, including joint angles, body alignment, and gait symmetry for objective evaluation.

Reliable Measurement in Clinical Settings

Delivers consistent gait analysis results in hospitals, clinics, and research environments without complex setup or controlled labs.

How It Works

AI-Based Gait Assessment

Assess gait through natural walking—no setup, no sensors, no disruption.

01

Natural Walking

Performs gait assessment directly from standard video input, without markers, sensors, or specialized equipment.

02

3D Joint & Gait Pattern Analysis

Analyzes lower-body joint movement in 3D to evaluate stride, balance, symmetry, and range of motion.

03

Clinical & Research Use

Designed for clinical assessment and research use, supporting objective, repeatable gait evaluation.

REMOBody-S Gait Analysis

From Video to Clinical Gait Insights

Markerless analysis that transforms standard walking videos into objective, clinical-grade gait data—using a single camera.

1

Markerless Video Input

Secure server-based analysis request system

2

3D Gait Data Extraction

Automatically derives key gait metrics including joint motion, stride, balance, symmetry, and range of motion.

3

Clinical-Ready Insights

Delivers objective, repeatable gait data designed for clinical evaluation and research applications.