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Article Dans Une Revue IET Intelligent Transport Systems Année : 2012

Detection of human presence in a vehicle by vibration analysis

Radu Ranta
Yves Decoster
  • Fonction : Auteur
IEE
Pierre Orlewski
  • Fonction : Auteur
IEE

Résumé

The aim of this study is to propose a complete instrumentation and signal processing method able to detect the presence of a person seated on the rear bench of a vehicle. The sensor is based on a piezoelectric film (EMFI sensor), designed to detect mechanical vibrations. In order to avoid confusion between humans and heavy objects or empty seats, the authors focused on the extraction of a biological signature from the acquired signals. This physiological pattern was extracted using an original wavelet denoising algorithm and was used further as a matched filter, in order to detect human presence in the vibration signals. Physiologically significant features were extracted from the output of the (on-line) filtering process and fed further-on into a classical Bayes-based classifier. After training, the proposed method yielded very promising results, the output of the classifier being almost error-free for different acquisition conditions (stopped and on-road vehicle, new and artificially aged sensor).
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Dates et versions

hal-00853712 , version 1 (23-08-2013)

Identifiants

Citer

Radu Ranta, Yves Decoster, Pierre Orlewski. Detection of human presence in a vehicle by vibration analysis. IET Intelligent Transport Systems, 2012, 6 (4), pp.413-420. ⟨10.1049/iet-its.2011.0144⟩. ⟨hal-00853712⟩
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