Trunk kinematics data for balance disturbances and activities of daily living

This trunk kinematics dataset contains experimental data from six young and healthy adults for typical daily activities and trip- and slip-like perturbed locomotion that were measured by a self-developed wearable sensor, 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 requires accurate extraction of kinematic quantities of body segments. The perturbation were applied with highly standardized mechanical mechanisms. Current approaches use inertial sensors that require numerical time differentiation to access the angular acceleration vector, a mathematical operation that greatly increases the noise in the acceleration value. IIn this research, we use the IMC to directly measure the angular velocity and acceleration vector of the trunk during perturbed locomotion. As an application, we demonstrated a framework for automatically detecting and classifying the type of balance perturbation (tripping vs. slipping vs. forward loss of balance vs. backward loss of balance during stance) outside the laboratory.<br>Abbreviations:SLOW: slow gait velocity; PRF: preferred gait velocity; FAST: fast gait velocityPERT: perturbed walking; LRT_FW: Lean-and-release task forward directed; UNPERT: unperturbed walkingPAD: Pick up and drop; SC: Staircase walking; TUG: Time up and go; REST: quiet stance