System and method of biomechanical posture detection and feedback including sensor normalization

A postural feedback apparatus comprising:

• a tri-axial accelerometer configured to be attached to a user, the tri-axial accelerometer configured to:
• capture first tri-axial accelerometer data over a first period of time while the user is moving as instructed, capture second tri-axial accelerometer data while the user is stationary, and capture third tri-axial accelerometer data at a third point in time;
• and
• a microprocessor configured to:
• average the captured first tri-axial accelerometer data,
• create a first normalization matrix based on the averaged captured first tri-axial accelerometer data,
• average the captured second tri-axial accelerometer data;
• create a second normalization matrix based on the averaged captured second tri-axial accelerometer data;
• create normalized accelerometer data by applying the first normalization matrix and the second normalization matrix to the captured third tri-axial accelerometer data;
• and
• analyze at least the normalized accelerometer data and determining a movement and posture state of the user.

A method comprising:

• capturing, by a tri-axial accelerometer attached to a user, first tri-axial accelerometer data over a first period of time while the user is moving at a first point in time;
• averaging, by a microprocessor, the captured first tri-axial accelerometer data, wherein before averaging by the microprocessor the captured first tri-axial accelerometer data:
• calculating, by the microprocessor, smoothed power from the captured first tri-axial accelerometer data;
• identifying, by the microprocessor, data in the captured first tri-axial accelerometer data which results in the calculated power being below a threshold;
• and
• discarding, by the microprocessor, the identified data from the captured first tri-axial accelerometer data;
• creating, by the microprocessor, a first normalization matrix based on the averaged first tri-axial accelerometer data;
• capturing, by the tri-axial accelerometer attached to the user, second tri-axial accelerometer data at a second point in time;
• creating, by the microprocessor, first normalized accelerometer data by applying the first normalization matrix to the captured second tri-axial accelerometer data;
• recognizing, by the microprocessor, that the user is moving at a second point in time;
• averaging, by the microprocessor, the first normalized accelerometer data;
• calculating, by the microprocessor, a shift angle from the averaged first normalized accelerometer data;
• and
• adjusting, by the microprocessor, the first normalized accelerometer data based on the calculated shift angle;
• and
• analyzing at least the first normalized accelerometer data and determining a movement and posture state of the user.

A method comprising:

• capturing, by a tri-axial accelerometer attached to a user, first tri-axial accelerometer data over a first period of time while the user is moving at a first point in time;
• averaging, by a microprocessor, the captured first tri-axial accelerometer data;
• creating, by the microprocessor, a first normalization matrix based on the averaged first tri-axial accelerometer data;
• capturing, by the tri-axial accelerometer attached to the user, second tri-axial accelerometer data at a second point in time;
• creating, by the microprocessor, normalized accelerometer data by applying the first normalization matrix to the captured second tri-axial accelerometer data;
• after creating by the microprocessor the first normalized accelerometer data:
• capturing, by the tri-axial accelerometer attached to the user, third tri-axial accelerometer data over a third period of time, while the user is stationary as instructed,
• averaging, by the microprocessor, the captured third tri-axial accelerometer data,
• creating, by the microprocessor, a second normalization matrix based on an averaged third tri-axial accelerometer data, and
• creating, by the microprocessor, second normalized accelerometer data by applying the second normalization matrix to the normalized accelerometer data;
• recognizing, by the microprocessor, that the user is moving at a second point in time;
• averaging, by the microprocessor, the first normalized accelerometer data;
• calculating, by the microprocessor, a shift angle from the averaged first normalized accelerometer data;
• and
• adjusting, by the microprocessor, the first normalized accelerometer data based on the calculated shift angle;
• and
• analyzing at least the first normalized accelerometer data and determining a movement and posture state of the user.