ArticleData in brief2026
Multimodal gait dataset with floor accelerations, inertial sensor data, and synchronized video from controlled walking trials.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
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).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.