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Palabras clave – provistas por la editorial

falls; slips; trips; postural perturbations; wearables; stretch-sensors; ankle kinematics; rowing; technology; inertial sensor; accelerometer; performance; signal processing; sEMG; knee; random forest; principal component analysis; back propagation; estimation model; knee angle; deep learning; neural networks; gait-phase classification; electrogoniometer; EMG sensors; walking; gait-event detection; automotive radar; machine learning; walking analysis; seated posture; cognitive engagement; stress level; load cells; embedded systems; sensorized seat; flexion-relaxation phenomenon; surface electromyography; wearable device; WBSN; automatic detection of the FRP; Internet of Things (IoT); human activity recognition (HAR); motion analysis; wearable sensors; cerebral palsy; hemiplegia; motor disorders; gait variability; coefficient of variation; surface EMG; statistical gait analysis; activation patterns; co-activation; Parkinson’s disease; activity recognition; rate invariance; Lie group