Dataset for Multi-Sensor Analysis of Kinetics and Kinematics of Healthy Adults during Activities of Daily Living (ADL)

This dataset was collected to study the biomechanics of healthy adults during common Activities of Daily Living (ADLs). Data were acquired simultaneously from three wearable sensing systems:<br>- Inertial Measurement Units (IMUs), Movella MVN Link - Pressure insoles, Moticon - Force shoes, Xsens ForceShoe <br>In total, data from 6 healthy participants were recorded while performing the following movements: <br>- Timed Up and Go (TUG) Test- Free Walking (FW)- Stairs Ascending and Descending (SAD)- Treadmill Walking – Slow (TS)- Treadmill Walking – Fast (TF)<br>This multimodal dataset allows for the development and validation of algorithms for kinematic and kinetic analysis of human motion, with a focus on estimating ground reaction forces (GRF) using wearable sensors.

本数据集旨在探究健康成年人在日常常见活动（Activities of Daily Living, ADLs）中的生物力学特性。数据通过三套可穿戴传感系统同步采集获得：<br>- 惯性测量单元（Inertial Measurement Units, IMUs）搭配Movella MVN Link系统<br>- 压力鞋垫搭配Moticon系统<br>- 测力鞋搭配Xsens ForceShoe系统<br>本数据集共收录6名健康受试者完成以下动作时的采集数据：<br>- 计时起立行走（Timed Up and Go, TUG）测试<br>- 自由行走（Free Walking, FW）<br>- 上下楼梯（Stairs Ascending and Descending, SAD）<br>- 慢速跑步机行走（Treadmill Walking – Slow, TS）<br>- 快速跑步机行走（Treadmill Walking – Fast, TF）<br>本多模态数据集可用于开发并验证人体运动运动学与动力学分析算法，重点聚焦于利用可穿戴传感器估算地面反作用力（Ground Reaction Forces, GRF）。