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.