Proprietary dataset

Multimodal gait data built for real-world variation.

A company-owned dataset spanning camera, pose, thermal, depth, infrared, RGB, and kinematic signals across practical walking covariates.

Surveillance capture videoCamera-based gait capture for identity support, pose overlays, and security review workflows.

Medical / GaitFall capture videoMovement samples for mobility assessment, gait-quality review, rehabilitation tracking, and fall-risk analytics.

Sensor modalitiesKinematics, thermal, depth images, infrared images, RGB video, and pose points from Kinect/Xbox and Kone sources.

Kinematic signalsAccelerometer, gyroscope, inclinometer, and G-force meter recordings.

View coverageRGB view angles include 0, 30, 60, 90, 120, 140, 150, 165, 180, 210, 240, 270, 300, 320, 330, and 345 degrees.

Thermal covariatesNormal walking, coat variation, and view angles at 0, 45, and 90 degrees.

Depth / infrared / RGB covariatesNormal, gown, carried object, static occlusion, dynamic occlusion, speed run, multigait, and heel variation.

Complex walking conditionsElevation, staircase, zigzag walking, speed change, and multi-gait patterns.