Multimodal gait dataset with floor accelerations, inertial sensor data, and synchronized video from controlled...

This dataset provides multimodal measurements from controlled human walking trials to support research in gait analysis, floor vibration modeling, human-structure interaction, and data-driven movement analysis. It includes floor acceleration signals from four high-sensitivity seismic accelerometers, body-mounted inertial measurements from six OPAL-APDM sensors, and synchronized video recordings. A single male participant completed 27 trials along a 10 m walkway while following metronome-guided cadences of 90, 120, and 130 beats per minute. The data enable the development and validation of structural vibration models for human locomotion, the estimation of gait parameters from floor responses, and the training of machine-learning models for locomotion analysis. All recordings, floor vibrations, inertial sensor outputs, and time-aligned videos are publicly available through the Open Science Framework (OSF).