Title
A Portable Personality Recognizer Based on Affective State Classification Using Spectral Fusion of Features.
Abstract
In this paper, we introduce a system named Portable Personality Recognizer (PPR), which classifies the personality of an individual using his/her transitions of affective states. This work attempts to reveal the latent relationship between emotions and personality of a person. Here, we train a hidden Markov model (HMM) with observable emotional states viz. Happiness (H), Anger (A), Surprise (S) an...
Year
DOI
Venue
2018
10.1109/TAFFC.2018.2828845
IEEE Transactions on Affective Computing
Keywords
Field
DocType
Hidden Markov models,Emotion recognition,Biological system modeling,Feature extraction,Brain modeling,Temperature sensors,Blood
Neuroticism,Extraversion and introversion,Psychoticism,Emotion classification,Psychology,Speech recognition,Feature extraction,Anger,Artificial intelligence,Hidden Markov model,Machine learning,Personality
Journal
Volume
Issue
ISSN
9
3
1949-3045
Citations 
PageRank 
References 
2
0.37
14
Authors
6
Name
Order
Citations
PageRank
Anushree Basu120.37
Anirban Dasgupta2142.44
Anirud Thyagharajan320.37
Aurobinda Routray433752.80
rajlakshmi guha5121.02
Pabitra Mitra61729126.79