Abstract:Goal: Real-time abnormality detection in gait analysis is an open
challenge. The existing state-of-the-art is limited by the fact that it
does not take into account ’in-step’ anomaly detection. Timely detection
of gait abnormalities during the mid-swing phase of the step (i.e.,
within 50ms detection time) is required to make informed gait
correction. To meet this requirement and overcome state of the art
limitations, we present real-time anomaly detection algorithms, a new
dataset, and a framework to estimate … Show more
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