Khushboo Verma, Biomechanics and Movement Science Ph.D. candidate, and UD colleagues have been published in MDPI. Video- and sensor-based gait analysis systems are rapidly emerging for use in “real world” scenarios outside of typical instrumented motion analysis laboratories. There are, however, detection errors inherent in kinematic gait event detection methods. For this study, three kinematic methods – coordinate based treadmill algorithm, shank angular velocity and foot velocity algorithm – were compared to “gold standard” force plate methods for determining initial contact and terminal contact in adults, typically developing children and children with cerebral palsy. Read the full paper here.
UD team published in MDPI
