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