- 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
Please include the title “Toshiba AI Technology Catalog: Heat stress estimates” or the URL in the inquiry text.
Please note that because this technology is currently the subject of R&D activities, immediate responses to inquiries may not be possible.
References:
- M. SAITO et.al.; “Studies of heat stress estimation methods using heat stroke risk factors”; 2019 IEICE Society Conference, 2019. (in Japanese)
- M. SAITO et al., “An estimation method of heat stress risk for workers using wearable sensor data and information of lifestyle,” Institute of Electronics, Information and Communication Engineers (IEICE), Human Communication Science HCS2019-57, Jan. 2020. (in Japanese)
- M. SAITO, “Method to estimate heat stress using data from wearable sensors on worker,” Toshiba Review Vol.75, No.4, pp.88-89, Jul. 2020. (PDF) (in Japanese)
- M. SAITO et al., “Heat Stress Risk Estimation for Workers from Wearable Sensor Data and Lifestyle Information,” Proc. of 15th International Symposium on Medical Information and Communication Technology (ISMICT2021), Apr. 2021.
- wristband-type sensor MULiSiTEN MS100 (in Japanese)
