Wearable systems can evaluate a subject’s gait without the need to meet a therapist. Some of these wearables are in the form of smartphone built-in sensors. Gait characteristics give us a knowledge of health status in individuals with movement disorders. In this study, we designed a gyroscope-based smartphone application for quantifying gait parameters through a built-in smartphone sensor. This method uses a custom created algorithm for measuring a person’s manner of walking. The outcome is an inexpensive application for tracking the prognosis of the disease and monitoring patient recovery that allows a point-of-care at-home monitoring of patients with limb problems.
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