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Predicting firefighters' exertion based on machine learning techniques

Firefighters are exposed to many hazards. Smart personal protective equipment can assist in hazardous situations by processing vital parameters. The main challenge in this context is the correct interpretation of individual strain. Therefore individual assessments and physiological measurements were used in a machine learning context. The result is a wellworking classification model to estimate the firefighters current exertion.

Bibliographic information

S. Kupschick, M. Pendzich, D. Gardas, T. Jürgensohn, S. Wischniewski, L. Adolph:
Predicting firefighters' exertion based on machine learning techniques. 
1. edition. 2016. 
(baua: Focus)
pages 13, PDF file, DOI: 10.21934/baua:focus20161107

download file "Predicting firefighters' exertion based on machine learning techniques" (PDF, 341 KB, Not barrier-free file)