This disclosure relates to systems and methods to analyze gait, balance or posture information extracted from data collected by one or more wearable and connected sensor devices with sensors embedded therewithin. The embedded sensors include a three-axis accelerometer, a three-axis gyroscope and an array of pressure sensors. Sensor data detected by the sensors can be received by a mobile computing device, which can analyze the sensor data to identify a pattern related to gait, balance or posture within the sensor data and apply a statistical/machine learning-based classification to the pattern related to gait, balance or posture to as sign a clinical parameter to the pattern characterizing a risk of a slip, trip and fall event.
