[Reading] Emotion Analyzing Method Using Physiological State

Mera, Kazuya and Ichimura, Takumi

Book Series	Lecture Notes in Computer Science
Publisher	Springer Berlin / Heidelberg
ISSN	0302-9743
Subject	Computer Science
Volume	Volume 3214/2004
Book	Knowledge-Based Intelligent Information and Engineering Systems
DOI	10.1007/b100910
Copyright	2004
ISBN	978-3-540-23206-3
Pages	195-201

1. using uttrance in dialoge to fine the emotion (by ECG)
2. using the method proposed by R. Picard to recognize the emotion (extrating 20 features)
3. using NN to combine 1 + 2

Condiser 20 emotions which are classified into 6 emotion groups :

• Well-Being: joy, distress
• Fortunes-of-Others: happy-for, gloating, resentment, sorry-for
• Prospect-based: hpe, fear
• Confirmation: satisfaction, relief, fears-confirmed, disappointment
• Attribution: pride, admiration, shame, disliking
• Well-Being/Attribution: gratitude, anger, gratification, remorse
  

A method combine context and physiological signal processing to detect the clients emotion.