Body temperature estimation via thermal intensity distribution

A computing device, comprising:

• a thermal camera;
• a logic machine;
• and
• a storage machine holding instructions executable by the logic machine to:
• receive, via the thermal camera, one or more thermal images captured of a real-world environment, the one or more thermal images including thermal intensity values for each of a plurality of pixels of the one or more thermal images;
• identify, in the one or more thermal images, positions of a plurality of human faces, each of the plurality of human faces corresponding to one or more pixels of the one or more thermal images having corresponding thermal intensity values;
• determine a distribution of thermal intensity values of the plurality of human faces;
• identify a position of a test human face of a test human subject within a subsequent thermal image;
• identify one or more test thermal intensity values of one or more pixels corresponding to the test human face;
• and
• report an indication of a body temperature of the test human subject based on a comparison of the one or more test thermal intensity values and the distribution of thermal intensity of the plurality of human faces, where the one or more pixels having the one or more test thermal intensity values based on which the indication of the body temperature of the test human subject is reported include one or more highest-intensity pixels of the test human face.

A head-mounted display device, comprising:

• a near-eye display;
• a thermal camera;
• a logic machine;
• and
• a storage machine holding instructions executable by the logic machine to:
• receive, via the thermal camera, one or more thermal images captured of a real-world environment, the one or more thermal images including thermal intensity values for each of a plurality of pixels of the one or more thermal images;
• identify, in the one or more thermal images, positions of a plurality of human faces, each of the plurality of human faces corresponding to one or more pixels of the one or more thermal images having corresponding thermal intensity values;
• determine a distribution of thermal intensity values of the plurality of human faces;
• identify a position of a test human face of a test human subject within a subsequent thermal image;
• identify one or more test thermal intensity values of one or more pixels corresponding to the test human face;
• estimate a body temperature of the test human subject based on a comparison of the one or more test thermal intensity values and the distribution of thermal intensity values of the plurality of human faces, where the one or more pixels having the one or more test thermal intensity values based on which the body temperature of the test human subject is estimated include one or more highest-intensity pixels of the test human face;
• and
• numerically display the body temperature of the human subject at a screen space position on the near-eye display at or near a position corresponding to the test human subject.