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ThermalWrist: Smartphone Thermal Camera Correction Using a Wristband Sensor †.

Hiroki Yoshikawa1, Akira Uchiyama2, Teruo Higashino3

  • 1Graduate School of Information Science and Technology, Osaka University, Osaka 565-0871, Japan. h-yoshikawa@ist.osaka-u.ac.jp.

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Summary

Smartphone thermal cameras can now accurately measure human body temperature using ThermalWrist, a new dynamic offset correction method. This technique combines thermal images with wristband sensor data, significantly improving temperature monitoring accuracy.

Keywords:
offset correctionskin temperaturesmartphonethermal camerawristband sensor

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Area of Science:

  • Biomedical Engineering
  • Computer Vision
  • Sensor Technology

Background:

  • Smartphone thermal cameras are valuable for healthcare but lack accuracy for human body temperature monitoring.
  • Small sensor sizes make smartphone thermal images susceptible to temperature fluctuations.

Purpose of the Study:

  • To introduce ThermalWrist, a novel dynamic offset correction method for smartphone thermal imaging.
  • To enhance the accuracy of absolute temperature measurements from smartphone thermal cameras.

Main Methods:

  • Utilized the inherent reliability of relative temperatures in thermal images.
  • Combined smartphone thermal images with absolute temperature data from a wristband sensor.
  • Developed a dynamic offset correction algorithm (ThermalWrist).

Main Results:

  • Reduced mean absolute error in face temperature measurement by 49.4%.
  • Decreased standard deviation of face temperature measurement error by 64.9%.
  • Increased Pearson's correlation coefficient by 112%, indicating improved accuracy.

Conclusions:

  • ThermalWrist significantly improves the accuracy of human body temperature monitoring using smartphone thermal cameras.
  • The method is effective in typical indoor environments (≥22.91 °C).
  • This technology holds promise for remote health monitoring and research applications.