aiGait

Balance and Gait Assessment Software

aiGait analyzes gait videos* (e.g., TUG* Timed Up & Go—and other test motions) to extract skeletal keypoints and generate objective metrics such as gait speed, step length, cadence, and sit-to-stand/turn times. It also provides stability and variability analyses to visualize trends and enable cross-session comparisons, helping experts across disciplines build consistent gait records. The product focuses on quantification and documentation; it does not provide medical diagnoses and does not replace professional judgment. Suitable for sports science, rehabilitation and long-term care, occupational safety, as well as research and education.
*Powered by Fujitsu's Human Motion Analytics technology.
  • Automated movement analysis
  • Quantified and standardized physical indicators
  • Objective support for professional observation and assessment

Subtle Gait Irregularities Are Often Hidden, Requiring a Clinician's Expert Eye and Years of Experience to Detect Early

Manual stopwatch-based assessment
Current processes are labor-intensive and prone to human error. Relying on manual timing limits scalability and introduces inconsistencies based on the evaluator's reaction time and attention.
Lack of standardized, quantifiable outputs
A lack of uniform data formats makes it difficult to compare results over time. Many assessments remain subjective, providing insufficient numerical data for precise statistical analysis or long-term clinical tracking. 3D marker-based systems are precise but operationally demanding.
3D marker-based systems are precise but operationally demanding
Although 3D marker-based systems deliver high-precision gait data, they require significant time and manpower to operate. From calibration and marker placement to measurement preparation, the workflow depends heavily on trained personnel, increasing staff burden and reducing clinical efficiency and scalability.
Quantifying Gait to Give Clinicians the Power of Foresight

Why choose aiGait

Automated analysis via video footage
Leverage standard video for automated recognition without the need for additional sensors. The system captures key movement features in real-time, significantly reducing labor costs and time while eliminating the subjective bias inherent in manual observation.
Precise quantification and digitization of physical indicators
Transform complex body dynamics into precise numerical data. Through standardized data output, clinicians can intuitively compare patient progress across different stages, providing a reliable quantitative foundation for clinical assessment and academic research.
Multi-device support for versatile clinical scenarios
Designed for high hardware flexibility, assessments can be initiated anytime using just a smartphone or tablet. Whether for quick in-clinic assessment, telehealth, or home-based tracking, the solution integrates seamlessly into existing workflows.

Use Cases

Orthopedics
Preoperative and postoperative evaluation.
Care Center & Neuro Dep
Mobility assessment for conditions such as Parkinson’s disease and dementia.
Rehabilitation
Range of motion (ROM) assessment.
Gym
Balance and movement assessment.

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