Sensor Fusion of Electronic Nose and Electronic Tongue for Classification of Orthosiphon stamineus

Author
Zakaria, A. · Shakaff, A.Y.M. · Adom, A.H. · Ahmad, M.N. · Shaari, A.R. · Jaafar, M.N. · Abdullah, A.H. · Fikri, N.A. · Kamarudin, L.M.
Published April 2011
Journal Sensor Letters
  See all Details

Abstract

Sensor fusion of electronic nose (e-nose) and electronic tongue (e-tongue) has lead to an improved classification of Orthosiphon stamineus (also known as Misai Kucing). The fusion technique was presented and compared with individual assessment using e-nose and e-tongue separately. Three different commercial sources along with freshly prepared sample were discriminated using an e-nose and an e-tongue. Headspace of these dried Orthosiphon stamineus leaves and brewed samples were measured and compared using e-nose in order to determine the optimum setting for experimental setup and sniffing cycle. Applying the Principal Component Analysis (PCA) separately on the respective e-tongue and e-nose data, only three distinct classes can be classified. However, by employing an improved technique of data fusion of the two modalities, classification of the four distinct groups was achieved.

Reviews

Write Review

Saving... Saving... Cancel Save Cancel

Details

Title
Sensor Fusion of Electronic Nose and Electronic Tongue for Classification of Orthosiphon stamineus
Author
Zakaria, A. · Shakaff, A.Y.M. · Adom, A.H. · Ahmad, M.N. · Shaari, A.R. · Jaafar, M.N. · Abdullah, A.H. · Fikri, N.A. · Kamarudin, L.M.
Year
2011
Journal
Sensor Letters
Document Type
Research article
Language
eng
Subjects
Cyranose320 · Chalcogenide · Data Fusion · Multimodalities · Competitive Learning · Orthosiphon Stamineus
This is Version 1 of this record. We added this version on April 6, 2011. This version is based on an original data import from IngentaConnect.com.