ArticleScientific data2021
Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Review on Locomotion Mode Recognition and Prediction When Using Active Orthoses and Exoskeletons.Sensors (Basel, Switzerland) · 2022Pooled it
- Study on the Influence of Rotation Axis Misalignment of the Exoskeleton Knee Joint on Human Knee Joint Torque.Sensors (Basel, Switzerland) · 2026Article
- A Wearable Motion Capture Dataset for Gait Analysis Using IMUs and Shank-Mounted Egocentric Cameras.Scientific data · 2026Article
- The Cortical Contributions to Turning Performance Through Muscle Synergies in Parkinson's Disease: A Mediation Study.Bioengineering (Basel, Switzerland) · 2026Article
- One-Legged Stand Test: Synchronized Motion Capture, Force Plate, and Radar Dataset for Fall-Risk.Scientific data · 2026Article
- Multimodal biomechanical dataset from transtibial amputees and able-bodied adults across five locomotion tasks.Scientific data · 2025Article
- Whole-body optical marker and ground reaction force data of healthy humans performing non-cyclic activities.Scientific data · 2025Article
- A Dataset of Clinical Gait Signals with Wearable Sensors from Healthy, Neurological, and Orthopedic Cohorts.Scientific data · 2025Article
- Dataset of walking and running biomechanics with different step widths across different speeds.Scientific data · 2025Article
- Parameter identification and sensitivity analysis of a lower-limb musculoskeletal model.Frontiers in bioengineering and biotechnology · 2025Article
- Long duration multi-channel surface electromyographic signals during walking at natural pace: Data acquisition and analysis.PloS one · 2025Article
- Wearable system for the measurement of gait cycle kinematic and kinetic signals.Wearable technologies · 2025Article
- Joint modeling and marker set selection significantly influence functional biomechanics in end-stage knee osteoarthritis: evidence from the sit-to-stand task.Frontiers in bioengineering and biotechnology · 2025Article
- Assessing the implementation of the REference FRame Alignment MEthod to compare differences in tibio-femoral kinematics during gait using five different marker sets.Frontiers in bioengineering and biotechnology · 2025Article
- AnkleImage - An ultrafast ultrasound image dataset to understand the ankle joint muscle contractility.Scientific data · 2024Article
- Foot kinematics and kinetics data for different static foot posture collected using a multi-segment foot model.Scientific data · 2024Article
- Kinematic-Muscular Synergies Describe Human Locomotion with a Set of Functional Synergies.Biomimetics (Basel, Switzerland) · 2024Article
- A biomechanics and energetics dataset of neurotypical adults walking with and without kinematic constraints.Scientific data · 2024Article
- Biomechanical Analysis of Human Gait When Changing Velocity and Carried Loads: Simulation Study with OpenSim.Biology · 2024Article
- A Systems Approach to Biomechanics, Mechanobiology, and Biotransport.Journal of biomechanical engineering · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
Understanding the lower limb kinematic, kinetic, and electromyography (EMG) data interrelation in controlled speeds is challenging for fully assessing human locomotion conditions. This paper provides a complete dataset with the above-mentioned raw and processed data simultaneously recorded for sixteen healthy participants walking on a 10 meter-flat surface at seven controlled speeds (1.0, 1.5, 2.0, 2.5, 3.0, 3.5, and 4.0 km/h). The raw data include 3D joint trajectories of 24 retro-reflective markers, ground reaction forces (GRF), force plate moments, center of pressures, and EMG signals from Tibialis Anterior, Gastrocnemius Lateralis, Biceps Femoris, and Vastus Lateralis. The processed data present gait cycle-normalized data including filtered EMG signals and their envelope, 3D GRF, joint angles, and torques. This study details the experimental setup and presents a brief validation of the data quality. The presented dataset may contribute to (i) validate and enhance human biomechanical gait models, and (ii) serve as a reference trajectory for personalized control of robotic assistive devices, aiming an adequate assistance level adjusted to the gait speed and user's anthropometry.
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