Odor quality in the cabin air of automobiles can be a significant factor in the decision to purchase a vehicle and the overall customer satisfaction with the vehicle over time. Current standard practice uses a human panel to rate the vehicle cabin odors on intensity, irritation, and pleasantness. However, human panels are expensive, time-consuming and complicated to administer. To address this issue, we have developed a machine olfaction approach to assess odors inside automobiles for the purpose of enhancing or replacing the human panel by evaluating the correlation between the system performance and a trained human panel. Our approach employs an ion-mobility spectrometer and a photoionization detector for measuring volatile organic compounds inside automobiles. Our olfactory system achieves good correlations (range from 0.72 to 0.84) with a trained human panel using predictive models generated by linear regression and cross-validation. Our results support the feasibility of replacing human panel assessments by a machine olfaction system.


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    Titel :

    Odor assessment of automobile cabin air by machine olfaction


    Beteiligte:
    Li, J. (Autor:in) / Hodges, R. D. (Autor:in) / Schiffman, S. S. (Autor:in) / Nagle, H. T. (Autor:in) / Gutierrez-Osuna, R. (Autor:in) / Luckey, G. (Autor:in) / Crowell, J. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.11.2014


    Format / Umfang :

    978335 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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