DUO-GAIT: A Gait Dataset for Walking under Dual-Task and Fatigue Conditions with Inertial Measurement Units

Details of the dataset are described in this publication. In recent years, there has been a growing interest to develop and evaluate 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 non-fatigued 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. ---------- Version History Version 3: Align the last few seconds of recording in raw data of sub_07, dual-task (this does not change any of the walking/exercise sensor signals or the rest of the dataset). Remove the .DS_Store files. Version 2: Update the license. Version 1: The original upload.本数据集的详细信息已在本出版物中说明。 近年来，基于惯性测量单元（IMU）数据开发并评估步态分析算法的研究热度与日俱增，该类算法在运动、疾病评估与康复等领域均具有重要应用价值。多任务与躯体疲劳是日常步态监测中的两类关键场景，但目前仍缺乏可公开获取的数据集，用以支撑基于移动惯性测量单元方案的步态分析方法开发与测试工作。本数据集采集了16名健康成年人在非疲劳与疲劳状态下的6分钟步行数据，实验涵盖单任务（仅步行）与双任务（步行同时完成认知任务）两种工况。具体而言，本研究在受试者头部、胸部、下背部、手腕、腿部与足部共布设9个惯性测量单元，在上述所有工况下完成数据采集。本数据集还包含丰富的时空步态参数，可反映步速、对称性与变异性等特征，同时附带了额外的研究相关信息，可为后续分析提供支撑。本数据集可作为未来自由生活环境下步态监测相关研究的基础支撑。 ---------- 版本历史 V3：对齐sub_07受试者双任务工况原始数据的最后几秒录制内容（本次调整未改动任何步行/运动传感器信号或数据集其余部分），并移除了.DS_Store文件。 V2：更新数据集许可协议。 V1：首次上传原始数据集。