Toshiba AI Technology Catalog

  • Numerical prediction
  • Sensor data recognition
  • Numerical analysis

Heat stress estimation

Constantly monitor heat stroke risk in workers, and promote early prevention measures.


  • Accurately estimate heat stress by using a wristband to check temperature, humidity, body movement, and heart rate, and also taking into account onset risk factors such as exercise habits and medical history.
  • Used in heatstroke prevention solutions at construction and manufacturing sites.

Applications



  • Heatstroke prevention services

Benchmarks, strengths, and track record



  • In stress estimation tests at workplaces, false positive result probability is reduced to 17.7% (46.8% under recommended MHLW standards) without missing real heat stress symptoms (2019 Institute of Electronics, Information and Communication Engineers (IEICE) Technical Committee on Human Communication Science (HCS)

Inquiries



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Please note that because this technology is currently the subject of R&D activities, immediate responses to inquiries may not be possible.

References:

  • Mami Saito et.al.; “Studies of heat stress estimation methods using heat stroke risk factors”; 2019 IEICE Society Conference, 2019.
  • Mami Saito et.al.; “Heat stress risk estimation methods for workers using wearable sensor data and lifestyle habits information”; (2019 Institute of Electronics, Information and Communication Engineers (IEICE) Technical Committee on Human Communication Science (HCS)
  • wristband-type sensor MULiSiTEN MS100 (Japanese only)