METHOD AND SYSTEM UTILIZING PATTERN RECOGNITION FOR DETECTING ATYPICAL MOVEMENTS DURING PHYSICAL ACTIVITY

摘要

Methods, systems and devices are provided for utilizing user movement data obtained from one or more wearable sensors during physical activity to compare individualized changes overtime, for example typical versus atypical movement patterns, with subgroup analyses for assessing changes between other users in order to develop an assessment of movement for, for example, tracking injury risk, performance, and/or rehabilitation. The movement information may comprise multi-sensor, high dimensional datasets. Techniques are provided for integrating human movement data from one or more wearable sensor with one or more additional data sources to define an individualized movement profile of a user's movements. The user or another individual may be notified when the user's movements deviate from this individualized movement profile.