aiGait
Gait and Movement Analysis Software
aiGait uses AI-based video analysis technology to quickly extract key features from movements such as walking, standing up, sitting down, and turning, transforming movement into objective quantitative data for professional observation, change tracking, and long-term comparison. Powered by Fujitsu Human Motion Analysis (HMA) technology, aiGait performs markerless movement analysis, reducing the operational burden associated with conventional sensors and marker-based measurement.
- Automated AI Movement Analysis
- Quantitative Gait and Movement Metrics
- Standardized Tracking and Longitudinal Comparison
Subtle movement changes can be observed, but are often difficult to quantify and compare consistently.
Movement Observation Relies Heavily on Manual Operation
Traditional movement observation and timing often require continuous manual operation. Differences in reaction time, observation methods, and recording practices may also affect consistency, while increasing measurement volume adds to the operational and data-processing workload.
Lack of Consistent Quantitative Data
Traditional observation methods can make it difficult to convert movement characteristics into consistent numerical values. Differences in recording methods may also limit comparison across time points and make longitudinal changes more difficult to visualize consistently.
Complex Operation of Traditional Marker-Based 3D Systems
Traditional marker-based 3D systems can provide more comprehensive three-dimensional movement information, but often require wearable or attached markers, system setup, calibration, and specialized operating procedures, increasing the complexity of routine or high-volume measurement.
Quantifying Movement for More Objective Observation and Comparison
Why Choose aiGait
Automated AI Movement Analysis from Video
AI-based human skeleton recognition and movement analysis can be performed directly from movement videos without markers on the participant, reducing measurement preparation, manual operation, and data post-processing.
Quantification of Gait and Movement Metrics
Gait and body movement characteristics are converted into objective quantitative metrics, including walking speed, step length, cadence, sit-to-stand time, turning time, and movement consistency, supporting professional observation, comparison, and longitudinal tracking.
Flexible Across Devices and Application Settings
Flexible device configurations support movement analysis using smartphones, camera-equipped Windows laptops, or multi-camera solutions, enabling deployment across health management, care, rehabilitation support, sports, and research settings.
Application Settings
Mobility Trends & Health Management
Longitudinal recording and comparison of movement characteristics
Rehabilitation Support
Quantitative movement recording and cross-session comparison
Sports Science & Fitness
Analysis of gait, balance, and movement performance
Research & Occupational Safety
Quantitative movement data for motion research and ergonomic applications