ArticleScientific data2023
DUO-GAIT: A gait dataset for walking under dual-task and fatigue conditions with inertial measurement units.
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 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic comparative analysis of gait characteristics in patients undergoing total knee arthroplasty and unicompartmental knee arthroplasty: a review study.Journal of orthopaedic surgery and research · 2024Pooled it
- GaitIntent: A Kinematic Dataset Focusing on Steady-State to Transitional Locomotion for Lower-Limb Motion Rehabilitation.Scientific data · 2026Article
- DeepGaitLab: Accurate and Flexible Markerless Motion Tracking Powered by Synthetic Data.Research square · 2026Article
- An upper limb stroke rehabilitation exercise video dataset.Data in brief · 2026Article
- Database for Prevalence and Determinants of Frailty in the Elderly with Quantifying Functional Mobility.Scientific data · 2026Article
- Six-minute walk test instrumented with a single inertial sensor: dataset from healthy adults of different ages.Scientific data · 2026Article
- A Dataset of Clinical Gait Signals with Wearable Sensors from Healthy, Neurological, and Orthopedic Cohorts.Scientific data · 2025Article
- Motion capture data of six jump-landings, fatigued and non-fatigued, after anterior cruciate ligament injury.Scientific data · 2025Article
- A Structural Vibration-based Dataset for Human Gait Recognition.Scientific data · 2025Article
- Health & Gait: a dataset for gait-based analysis.Scientific data · 2025Article
- AI-Aided Gait Analysis with a Wearable Device Featuring a Hydrogel Sensor.Sensors (Basel, Switzerland) · 2024Article
- Analyzing population-level trials as N-of-1 trials: An application to gait.Contemporary clinical trials communications · 2024Article
- HARE: Unifying the Human Activity Recognition Engineering Workflow.Sensors (Basel, Switzerland) · 2023Article
- DUO-GAIT: A gait dataset for walking under dual-task and fatigue conditions with inertial measurement units.Scientific data · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
In recent years, there has been a growing interest in developing and evaluating gait analysis algorithms based on inertial measurement unit (IMU) data, which has important implications, including sports, assessment of diseases, and rehabilitation. Multi-tasking and physical fatigue are two relevant aspects of daily life gait monitoring, but there is a lack of publicly available datasets to support the development and testing of methods using a mobile IMU setup. We present a dataset consisting of 6-minute walks under single- (only walking) and dual-task (walking while performing a cognitive task) conditions in unfatigued and fatigued states from sixteen healthy adults. Especially, nine IMUs were placed on the head, chest, lower back, wrists, legs, and feet to record under each of the above-mentioned conditions. The dataset also includes a rich set of spatio-temporal gait parameters that capture the aspects of pace, symmetry, and variability, as well as additional study-related information to support further analysis. This dataset can serve as a foundation for future research on gait monitoring in free-living environments.
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