Abstract
Non-standardized dual-tasks have recently gained attention in gait analysis. Currently, there is a lack of publicly available non-standardized dual-task gait datasets collected with multiple sensors. To fill this gap, we present a dataset (NONSD-Gait) consisting of back and forth 7 m walks under three non-standardized dual-task conditions (texting, browsing the web, and holding a cup) from 23 healthy adults. These data were collected simultaneously by three common types of sensors: an optical motion capture (MOCAP) system, a depth camera and an inertial measurement unit (IMU). MOCAP captured the 3D trajectories of 22 markers using 8 optical cameras, while the depth camera recorded the 3D trajectories of 25 joints. The IMU was placed on the left ankle to record acceleration and angular velocity data. Moreover, we extracted 10 spatio-temporal gait parameters and 168 kinematic parameters. This dataset enables gait analysis under non-standardized dual-task conditions, supporting research on rehabilitation training for cognitive and motor impairments. Additionally, it facilitates cross-device comparisons, facilitating the exploration of low-cost sensor alternatives.
| Original language | English |
|---|---|
| Article number | 1121 |
| Journal | Scientific data |
| Volume | 12 |
| Issue number | 1 |
| Early online date | 1 Jul 2025 |
| DOIs | |
| Publication status | Published - 1 Jul 2025 |
Bibliographical note
Publisher Copyright:© The Author(s) 2025.
Funding
This work was supported in part by the Guangdong Basic and Applied Basic Research Foundation under grant number 2025A1515010472, the National Key Research and Development Program of China under grant number 2023YFC2307305, and the Shenzhen Science and Technology Program under grant number ZDSYS20230626091203007.