Prediction of human odour assessments based on hedonic tone method using instrument measurements and multi-sensor data fusion integrated neural networks

A Cyranose 320 (eNose) and a Fast Gas Chromatograph (CG) analyser (zNose™) were used to measure the headspace odour of solid samples from dairy operations. The measurements of both sensors were trained by Levenberg–Marquardt Back-propagation Neural Network (LMBNN) to match human assessments. A trained human panel was used to assess the odours based on hedonic tone method and provide the model targets. A multi-sensor data fusion approach was developed and applied to integrate the eNose and zNose readings for higher predictive accuracy compared to each sensor alone. Principle Component Analysis, Forward Selection, and Gamma Test were applied to reduce the model input dimensions. Measurement fusion models and information fusion model approaches were applied. The information fusion prediction models were shown to be more accurate than all other models, including single instrument models. The information fusion model based on eNose with Gamma Test data reduction + zNose showed the best results of all cases in validation mean square error (0.34 odour units), R value (0.92), probability of the prediction falling within 10% of the target (96%), and probability of the prediction falling within 5% of the target (63%).

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Work Title Prediction of human odour assessments based on hedonic tone method using instrument measurements and multi-sensor data fusion integrated neural networks
Access
Open Access
Creators
  1. Fangle Chang
  2. Paul H. Heinemann
Keyword
  1. Hedonic tone
  2. Electronic nose
  3. zNose™
  4. Artificial Neural Networks
  5. Multi-sensor data fusion
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. Biosystems Engineering
Publication Date October 30, 2020
Publisher Identifier (DOI)
  1. https://doi.org/10.1016/j.biosystemseng.2020.10.005
Deposited July 21, 2022

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Version 1
published

  • Created
  • Added Chang_Heinemann2020_Sensor_fusion_Biosys_Engineering.pdf
  • Added Creator Fangle Chang
  • Added Creator Paul H. Heinemann
  • Published
  • Updated Keyword, Publication Date Show Changes
    Keyword
    • Hedonic tone, Electronic nose, zNose™, Artificial Neural Networks, Multi-sensor data fusion
    Publication Date
    • 2020-12-01
    • 2020-10-30
  • Updated