Abstract: A wearable device for gait monitoring and improvement, as well as systems for sensing relevant metrics and delivering real-time sensory feedback. One system receives a baseline active training program to target a mobility abnormality; downloads it onto a wearable device; determines the activity type based on sensor data obtained from a sensor array; generates cueing intensity feedback; receives field data from the wearable device; dynamically recommends new modification parameters based on the field data; and modifies the active training program based on the new modification parameters. The system may modify cueing intensity to correct the wearer's gait by selecting ranges of values for cueing response variables for a cueing window; receiving a sample dataset from a wearable device; determining whether a number of the cycles of frames spent in a no-correction frame is increasing; adjusting the outer bounds of the no-correction frame; and adjusting the cueing window.

Abstract: A wearable device for gait monitoring and improvement, as well as systems for sensing relevant metrics and delivering real-time sensory feedback. One system receives a baseline active training program to target a mobility abnormality; downloads it onto a wearable device; determines the activity type based on sensor data obtained from a sensor array; generates cueing intensity feedback; receives field data from the wearable device; dynamically recommends new modification parameters based on the field data; and modifies the active training program based on the new modification parameters. The system may modify cueing intensity to correct the wearer's gait by selecting ranges of values for cueing response variables for a cueing window; receiving a sample dataset from a wearable device; determining whether a number of the cycles of frames spent in a no-correction frame is increasing; adjusting the outer bounds of the no-correction frame; and adjusting the cueing window.