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Palabras clave – provistas por la editorial

gait; smoothness; older adults; accelerometer; inertial measurement unit (IMU); upper extremity; stroke; biomechanical phenomena; kinematics; inertial measurement systems; motion analysis; wearable devices; e-textile; gait analysis; m-health; plantar pressure; validation; Internet of Things; body sensor network; inertial sensors; ground reaction force; spatio-temporal parameters; wearable sensors; decision trees; foot drop stimulation; symmetry; inertial measurement sensor; wearable inertial sensors; marker-based optoelectronic system; ACL; rehabilitation; motion capture validation; upper limb; Parkinson’s disease; Box and Block test; inertial sensors network; biomechanics analysis; kinematic data; hand trajectories; kinematic; inertial measurement units; angle-angle diagrams; cyclograms; obesity; bradykinesia; real-life; naturalistic monitoring; motor fluctuation; wearable movement sensor; IMU; motion capture; reliability; clinical; orthopedic; sensory–motor gait disorders; limb prosthesis; spatial–temporal analysis; symmetry index; walking; 6-min walking test; wearable system; inertial sensor; RGB-D sensors; optoelectronic system; movement analysis; hemiparesis; n/a