Surface Electromyography-Based Recognition of Electronic Taste Sensations.
Biosensors (Basel)
; 14(8)2024 Aug 16.
Article
de En
| MEDLINE
| ID: mdl-39194625
ABSTRACT
Taste sensation recognition is a core for taste-related queries. Most prior research has been devoted to recognizing the basic taste sensations using the Brain-Computer Interface (BCI), which includes EEG, MEG, EMG, and fMRI. This research aims to recognize electronic taste (E-Taste) sensations based on surface electromyography (sEMG). Silver electrodes with platinum plating of the E-Taste device were placed on the tongue's tip to stimulate various tastes and flavors. In contrast, the electrodes of the sEMG were placed on facial muscles to collect the data. The dataset was organized and preprocessed, and a random forest classifier was applied, giving a five-fold accuracy of 70.43%. The random forest classifier was used on each participant dataset individually and in groups, providing the highest accuracy of 84.79% for a single participant. Moreover, various feature combinations were extracted and acquired 72.56% accuracy after extracting eight features. For a future perspective, this research offers guidance for electronic taste recognition based on sEMG.
Mots clés
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Goût
/
Électromyographie
Limites:
Adult
/
Humans
Langue:
En
Journal:
Biosensors (Basel)
Année:
2024
Type de document:
Article
Pays d'affiliation:
Chine
Pays de publication:
Suisse