ArticleScientific data2023
A dataset of asymptomatic human gait and movements obtained from markers, IMUs, insoles and force plates.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- A Multimodal Dataset of Full-Body Kinematics and Kinetics from Laboratory- and Wearable-Based Systems.Scientific data · 2026Article
- 100 Normative Gait Profiles with 5-year fall tracking: Benchmark Dataset for Southeast Asian Movement Science.Scientific data · 2026Article
- Motion capture dataset of 137 post-operative total hip replacement patients performing activities of daily living.Scientific data · 2026Article
- Advances in flexible wearable pressure/strain sensors for motion monitoring in orthopaedic sports medicine.Journal of orthopaedic translation · 2026Review
- Comparison of 3D ankle kinematics between minimal inertial measurement units configuration and optical motion capture system under diverse walking conditions.Scientific reports · 2026Article
- Six-minute walk test instrumented with a single inertial sensor: dataset from healthy adults of different ages.Scientific data · 2026Article
- Whole-body optical marker and ground reaction force data of healthy humans performing non-cyclic activities.Scientific data · 2025Article
- DIODEM - A Diverse Inertial and Optical Dataset of kinEmatic chain Motion.Scientific data · 2025Article
- Dataset of walking and running biomechanics with different step widths across different speeds.Scientific data · 2025Article
- New Parameters Based on Ground Reaction Forces for Monitoring Rehabilitation Following Tibial Fractures and Assessment of Heavily Altered Gait.Sensors (Basel, Switzerland) · 2025Observational
- A Full-Body IMU-Based Motion Dataset of Daily Tasks by Older and Younger Adults.Scientific data · 2025Article
- A Wearable Gait Monitoring System for 17 Gait Parameters Based on Computer Vision.IEEE transactions on instrumentation and measurement · 2025Article
- A dataset of optical camera and IMU sensor derived kinematics of thirty transtibial prosthesis wearers.Scientific data · 2024Article
- 3D motion analysis dataset of healthy young adult volunteers walking and running on overground and treadmill.Scientific data · 2024Article
- Short foot exercises for flatfoot therapy: Status and prospects.Science progressReview
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4 authors.
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Abstract
Human motion capture and analysis could be made easier through the use of wearable devices such as inertial sensors and/or pressure insoles. However, many steps are still needed to reach the performance of optoelectronic systems to compute kinematic parameters. The proposed dataset has been established on 10 asymptomatic adults. Participants were asked to walk at different speeds on a 10-meters walkway in a laboratory and to perform different movements such as squats or knee flexion/extension tasks. Three-dimensional trajectories of 69 reflective markers placed according to a conventional full body markerset, acceleration and angular velocity signals of 8 inertial sensors, pressure signals of 2 insoles, 3D ground reaction forces and moments obtained from 3 force plates were simultaneously recorded. Eight calculated virtual markers related to joint centers were also added to the dataset. This dataset contains a total of 337 trials including static and dynamic tasks for each participant. Its purpose is to enable comparisons between various motion capture systems and stimulate the development of new methods for gait analysis.
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