Impact mitigation and pressure mapping using smart fabrics

A computer system for impact response, comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein execution of the program instructions causes the computer system to perform a method comprising:
• triggering a stimulus if a threshold is reached or exceeded based on a positional relationship between a user of a body suit and a single-track vehicle, wherein the stimulus activates one or more pressure sensors integrated into a smart fabric of the body suit designed to measure an impact to the body suit;
• generating a pressure map of the body suit utilizing the one or more pressure sensors, wherein the pressure map is comprised of a plurality of pixels corresponding to a plurality of intersection points of the smart fabric of the body suit, wherein each of the plurality of pixels is assigned a value illustrating one or more pressure regions corresponding to the impact on the body suit;
• and
• generating an injury map using the pressure map and a machine learning model, wherein the machine learning model utilizes one or more input parameters specific to the user of the body suit to determine a neighborhood pressure expansion, wherein the neighborhood pressure expansion is utilized to expand the one or more pressure regions of the pressure map to one or more surrounding pixels based on the one or more input parameters specific to the user.

A computer program product for impact response, comprising:

• one or more non-transitory computer-readable storage media and program instructions stored on at least one of the one or more tangible storage media, the program instructions executable by a processor to cause the processor to perform a method comprising:
• triggering a stimulus if a threshold is reached or exceeded based on a positional relationship between a user of a body suit and a single-track vehicle, wherein the stimulus activates one or more pressure sensors integrated into a smart fabric of the body suit designed to measure an impact to the body suit;
• generating a pressure map of the body suit utilizing the one or more pressure sensors, wherein the pressure map is comprised of a plurality of pixels corresponding to a plurality of intersection points of the smart fabric of the body suit, wherein each of the plurality of pixels is assigned a value illustrating one or more pressure regions corresponding to the impact on the body suit;
• and
• generating an injury map using the pressure map and a machine learning model, wherein the machine learning model utilizes one or more input parameters specific to the user of the body suit to determine a neighborhood pressure expansion, wherein the neighborhood pressure expansion is utilized to expand the one or more pressure regions of the pressure map to one or more surrounding pixels based on the one or more input parameters specific to the user.