Year: 2009
Type: article
Source: Applied Ergonomics
Institutions: University of Twente, Philips (Netherlands)
Language: English
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2159577332
