Wearable device systems and methods for guiding physical movements

A non-transitory, computer-readable medium comprising instructions that, when executed by a processor, perform stages for guiding physical movements, the stages comprising:

• generating raw sensory data with a plurality of motion sensors monitoring a performance of a physical movement by a subject;
• selecting, with a computing device, one or more data filters based on a condition of the subject and a designated movement corresponding to the physical movement;
• converting, with the computing device, the raw sensory data into formatted data at least by filtering the raw sensory data with the one or more data filters;
• determining, with the computing device, a level of compliance of the physical movement with a movement model for the designated movement by applying one or more comparative modeling techniques to the formatted data and the movement model;
• and
• delivering real-time feedback dynamically to the subject during the performance of the physical movement based on the level of compliance,
• wherein the movement model is generated and the one or more comparative modeling techniques are selected based on the condition of the subject.

A system for guiding physical movements, comprising:

• a first wearable device configured to be positioned on a subject in a first location;
• a second wearable device configured to be positioned on the subject in a second location;
• each of the first wearable device and the second wearable device including:
• set of motion sensors;
• memory storage including a non-transitory, computer-readable medium comprising instructions;
• and
• a processor that executes the instructions;
• wherein the processors for the first device and the second device execute respective instructions to perform stages including:
• generating raw sensory data with the sets of motion sensors monitoring a performance of a physical movement;
• selecting one or more data filters based on a condition of the subject and a designated movement corresponding to the physical movement;
• converting the raw sensory data into formatted data at least by filtering the raw sensory data with the one or more data filters;
• determining a level of compliance of the physical movement with a movement model for the designated movement by applying one or more comparative modeling techniques to the formatted data and the movement model;
• and
• delivering real-time feedback dynamically to the subject during the performance of the physical movement based on the level of compliance,
• wherein the movement model is generated and the one or more comparative modeling techniques are selected based on the condition of the subject.