Trunk Kinematics Data

This trunk kinematic dataset contains computational modelling and experimental data that were measured by a self-developed wearable sensor called the Inertial measurement cluster (IMC). The sensor directly measures and records the angular velocity and the angular acceleration vector of the rigid body to which it is attached.In general, remote monitoring and evaluation of human motion during daily life require accurate extraction of kinematic quantities of body segments. Current approaches use inertial sensors that require numerical time differentiation to access the angular acceleration vector, a mathematical operation that greatly increases noise in the acceleration value. In this research, we use the IMC to measure the trunk's angular velocity and acceleration vector directly during perturbed locomotion. To demonstrate the accuracy of tracking angular acceleration vectors, we used computational modelling and experimental data. As an application, we showed a framework for automatic assessment of experimental fall initiation and balance recovery responses.