- 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:
- 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 (in Japanese)
