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The current solutions to diagnostic and rehabilitation of gait asymmetry are time consuming, costly, constrained to a clinical setting, and provide unadaptive feedback. A method to improve the efficiency of diagnostic and rehabilitation is required.

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Our goal is to automate the current solutions to diagnostic and rehabilitation of gait asymmetry through the use of metrics captured by a device. In order to do this, this device should be accurate, affordable, unobtrusive, and provide real-time feedback.