Ontology highlight
ABSTRACT:
SUBMITTER: Lim JZ
PROVIDER: S-EPMC7219342 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
Lim Jia Zheng JZ Mountstephens James J Teo Jason J
Sensors (Basel, Switzerland) 20200422 8
The ability to detect users' emotions for the purpose of emotion engineering is currently one of the main endeavors of machine learning in affective computing. Among the more common approaches to emotion detection are methods that rely on electroencephalography (EEG), facial image processing and speech inflections. Although eye-tracking is fast in becoming one of the most commonly used sensor modalities in affective computing, it is still a relatively new approach for emotion detection, especial ...[more]