Determining thermal insulation levels of clothing to wear at a destination

A device for determining thermal insulation levels for clothing device, comprising:

• a memory storage comprising instructions;
• and
• one or more processors in communication with the memory storage, wherein the one or more processors execute the instructions to:
• determine a thermal sensitivity bias for a user by averaging multiple comparisons of the thermal insulation level of clothing worn by the user to thermal insulation levels of clothing worn by a crowd of individuals in the one or more images at a same time, location, and environment;
• collect environment data based on at least one of time and location of a destination from a database;
• predict the thermal insulation level of clothing worn by the crowd for the destination based on the destination and the collected environment data;
• generate the thermal insulation level of clothing worn by the user at the destination comprised of the thermal insulation level of the clothing worn by the crowd for the destination adjusted by the thermal sensitivity bias for the user;
• and
• identify an image from the database having clothing with the thermal insulation level comparable to the thermal insulation level of clothing worn by the user at the destination.

A non-transitory computer-readable medium storing computer instructions for determining thermal insulation levels for clothing at a computer or mobile device, that when the computer instructions are executed by one or more processors, cause the one or more processors to perform the steps of:

• determining a thermal sensitivity bias for a user by averaging multiple comparisons of the thermal insulation level of clothing worn by the user to thermal insulation levels of clothing worn by a crowd of individuals in the one or more images at a same time, location, and environment;
• collecting environment data based on at least one of time and location of a destination from a database;
• predicting the thermal insulation level of clothing worn by the crowd for the destination based on the destination and the collected environment data;
• generating the thermal insulation level of clothing worn by the user at the destination comprised of the thermal insulation level of the clothing worn by the crowd for the destination adjusted by the thermal sensitivity bias for the user;
• and
• identifying an image from the database having clothing with a thermal insulation level comparable to the thermal insulation level of clothing worn by the user at the destination.