• Corpus ID: 35171644

Predicting firefighters ' exertion based on machine learning techniques

@inproceedings{Kupschick2016PredictingF,
  title={Predicting firefighters ' exertion based on machine learning techniques},
  author={Stefan Kupschick and Marie Pendzich and Dorata Gardas and Thomas J{\"u}rgensohn and Sascha Wischniewski and Lars Adolph},
  year={2016}
}
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. 
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