Towards an emotion core based on a Hidden Markov model

Kolja Kühnlenz; Martin Buss

Towards an emotion core based on a Hidden Markov model

Kolja Kühnlenz
, Martin Buss

Chair of Automatic Control Engineering

Technical University of Munich

Research output: Contribution to conference › Paper › peer-review

17 Scopus citations

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 paper proposes the methodology of design and implementation, and shows integration into a decision and control architecture. The application potential in emotion-based human-robot interaction is discussed.

Original language	English
Pages	119-124
Number of pages	6
State	Published - 2004
Event	RO-MAN 2004 - 13th IEEE International Workshop on Robot and Human Interactive Communication - Okayama, Japan Duration: 20 Sep 2004 → 22 Sep 2004

Conference

Conference	RO-MAN 2004 - 13th IEEE International Workshop on Robot and Human Interactive Communication
Country/Territory	Japan
City	Okayama
Period	20/09/04 → 22/09/04

Cite this

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title = "Towards an emotion core based on a Hidden Markov model",

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 paper proposes the methodology of design and implementation, and shows integration into a decision and control architecture. The application potential in emotion-based human-robot interaction is discussed.",

author = "Kolja K{\"u}hnlenz and Martin Buss",

year = "2004",

language = "English",

pages = "119--124",

note = "RO-MAN 2004 - 13th IEEE International Workshop on Robot and Human Interactive Communication ; Conference date: 20-09-2004 Through 22-09-2004",

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T1 - Towards an emotion core based on a Hidden Markov model

AU - Kühnlenz, Kolja

AU - Buss, Martin

PY - 2004

Y1 - 2004

N2 - 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 paper proposes the methodology of design and implementation, and shows integration into a decision and control architecture. The application potential in emotion-based human-robot interaction is discussed.

AB - 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 paper proposes the methodology of design and implementation, and shows integration into a decision and control architecture. The application potential in emotion-based human-robot interaction is discussed.

UR - https://www.scopus.com/pages/publications/20444478254

M3 - Paper

AN - SCOPUS:20444478254

SP - 119

EP - 124

T2 - RO-MAN 2004 - 13th IEEE International Workshop on Robot and Human Interactive Communication

Y2 - 20 September 2004 through 22 September 2004

ER -

Towards an emotion core based on a Hidden Markov model

Abstract

Conference

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