Work

Estimation of Unpleasant and Pleasant States by Nasal Thermogram

Year: 2004

Type: article

Abstract: We studied the method for objectively evaluating emotion through FST (Facial Skin Thermogram), which brings less stress and non-contact measurement. We tried to estimate unpleasant and pleasant states on FST with Neural Network. Subjective VAS was precisely estimated at any estimation accuracy.

Source: IEEJ Transactions on Electronics Information and Systems

DOI: 10.1541/ieejeiss.124.213

Authors: Hideyuki Zenju, Akio Nozawa, Hisaya Tanaka, Hideto Ide

Institutions: Aoyama Gakuin University, Kogakuin University

Language: English

Topic: Emotion and Mood Recognition

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W1992204208

FWCI: 1.303

Cites: 1

Cited by: 49

Related to: 10