Sensor based wearable fabric design for identifying distortion in movements and quantifying range of motion

A method for identifying distortion in movement patterns of a subject, comprising:

• detecting deformation of a plurality of sides in a wearable fabric worn by the subject, wherein the wearable fabric comprising a plurality of honey-comb structures, wherein each of the honey-comb structure comprising a plurality of adjacently placed hexagon structures, and wherein each hexagon structure comprising a plurality of optical sensor units with each optical sensor unit placed on each side of the hexagon structure;
• generating signatures of movement patterns of one or more parts of body of the subject in accordance with the detected deformation, wherein the signatures of each of the movement patterns is varied for each of the one or more parts of the body, and wherein the signature for a specific movement pattern is generated based on aggregation of the transmitted information related to the detected deformation;
• comparing, the generated signatures with stored signatures of the movement patterns of the one or more parts of body of the subject, wherein the generated signatures are used to construct an actual trajectory of the one or more parts of body of the subject and the stored signatures includes an expected trajectory of the one or more parts of body of the subject,
• wherein the comparison is performed by a trajectory matching algorithm between the actual trajectory and the expected trajectory, and wherein the trajectory matching uses a multi-layer perceptron (MLP) for linear approximation of the actual trajectory and the expected trajectory;
• determining, an error indicative of distortion in the movement patterns of the one or more parts of body of the subject in accordance with a difference between the generated signatures and the stored signatures;
• and
• determining, a range of motion (ROM) of the movement patterns of the one or more parts of the body of the subject, using the error indicative of distortion, wherein the ROM comprises a shoulder ROM, back ROM, thoracic and lumbar ROM, deformity and posture.

One or more non-transitory computer readable mediums for identifying distortion in movement patterns of a subject comprising one or more instructions which when executed by one or more hardware processors cause:

• detecting deformation of a plurality of sides in a wearable fabric worn by the subject, wherein the wearable fabric comprising a plurality of honey-comb structures, wherein each of the honey-comb structure comprising a plurality of adjacently placed hexagon structures, and wherein each hexagon structure comprising a plurality of optical sensor units with each optical sensor unit placed on each side of the hexagon structure;
• generating signatures of movement patterns of one or more parts of body of the subject in accordance with the detected deformation, wherein the signatures of each of the movement patterns is varied for each of the one or more parts of the body, and wherein the signature for a specific movement pattern is generated based on aggregation of the transmitted information related to the detected deformation;
• comparing, the generated signatures with stored signatures of the movement patterns of the one or more parts of body of the subject, wherein the generated signatures are used to construct an actual trajectory of the one or more parts of body of the subject and the stored signatures includes an expected trajectory of the one or more parts of body of the subject,
• wherein the comparison is performed by a trajectory matching algorithm between the actual trajectory and the expected trajectory, and wherein the trajectory matching uses a multi-layer perceptron (MLP) for linear approximation of the actual trajectory and the expected trajectory;
• determining, an error indicative of distortion in the movement patterns of the one or more parts of body of the subject in accordance with a difference between the generated signatures and the stored signatures;
• and
• determining, a range of motion (ROM) of the movement patterns of the one or more parts of the body of the subject, using the error indicative of distortion, wherein the ROM comprises a shoulder ROM, back ROM, thoracic and lumbar ROM, deformity and posture.