Authors:
Andre Lourenco, Ana Priscila Alves, Carlos Carreiras, Rui Duarte, Ana Fred
Affiliation(s):Instituto de Telecomunicacoes
CardioID - Technologies LDA
Abstract:
Monitoring of physiological signals while driving is a recenttrend in the automotive industry. CardioWheel is a state-of-the-artmachine learning solution for driver biometrics based on electrocardiographicsignals (ECG). The system pervasively acquires heart signalsfrom the hands of the user through sensors embedded in the steeringwheel, allowing the recognition of the driver's identity. The implementedpipeline combines unsupervised and supervised machine learning algorithms,and is being tested in real-world scenarios, illustrating one of thepotential uses of this technology.
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