We present an approach to wearable sensor-based assessment of fall risk for post stroke patients. The goal is to use inertial measurement unit to automate the fall risk estimation of the functional reach test. In this paper, we present the current stage of our system, including the proposed Event Scoring technique for detecting events such as shuffling and taking steps during the test. The system is also equipped with our proposed signal processing tools for measuring the patient's balance. The proposed system is delivered as an application (App) running on our hardware system consisting of two bluetooth low energy modular sensor devices and a smart phone. This system has been extensively tested using emulated and real data from Physical Therapy students as well as stroke patients.
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