Towards an emotion core based on a hidden Markov model

Author

Kühnlenz, Kolja ; Buss, Martin

Author_Institution

Inst. of Autom. Control Eng., Technische Univ. Munchen, Germany

fYear

2004

fDate

20-22 Sept. 2004

Firstpage

119

Lastpage

124

Abstract

An emotion core for autonomous robots based on a hidden Markov model is proposed. Different emotional robot characters can be designed by tuning state transition probabilities. Perception of stimuli has an impact on emotional state transitions, and, thus, affects emotion dynamics and observable expressions/actions. This work proposes the methodology of design and implementation, and shows integration into a decision and control architecture. The application potential in an emotion-based human-robot interaction is discussed.

Keywords

emotion recognition; hidden Markov models; man-machine systems; mobile robots; probability; autonomous robots; emotion core; emotion dynamics; emotional robot characters; emotional state transitions; hidden Markov model; human robot interaction; state transition probability; stimuli perception; Automatic control; Biomedical signal processing; Cognitive robotics; Communication system control; Decision making; Electronic mail; Hidden Markov models; Human robot interaction; Robotics and automation; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Robot and Human Interactive Communication, 2004. ROMAN 2004. 13th IEEE International Workshop on

Print_ISBN

0-7803-8570-5

Type

conf

DOI

10.1109/ROMAN.2004.1374740

Filename

1374740