Closed-Loop Petri Net Model for Implementing an Affective-State Expressive Robotic Face

A closed-loop Petri Net (PN) model was developed to exhibit, maintain and, withdraw facial expressions of six basic affective states, in a human-like manner, on a robotic face. The PN model was aimed to enable execution of major facial muscles-like-interactions between segments of a latex-made facia...

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Main Authors: Hargreaves, T., Khan, Masood Mehmood, Bensen, D., Tan, Tele
Format: Conference Paper
Published: IEEE Press 2016
Online Access:http://hdl.handle.net/20.500.11937/57044
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author Hargreaves, T.
Khan, Masood Mehmood
Bensen, D.
Tan, Tele
author_facet Hargreaves, T.
Khan, Masood Mehmood
Bensen, D.
Tan, Tele
author_sort Hargreaves, T.
building Curtin Institutional Repository
collection Online Access
description A closed-loop Petri Net (PN) model was developed to exhibit, maintain and, withdraw facial expressions of six basic affective states, in a human-like manner, on a robotic face. The PN model was aimed to enable execution of major facial muscles-like-interactions between segments of a latex-made facial mask. The muscle-like interactions were based upon the widely accepted and used facial action coding systems. In order to validate the PN model, the facial mask, mounted on a 3-D printed artificial skull, was used as a robotic face. Human facial muscles like movements, generated on the surface of the facial mask, were able to express positive and negative affective states. Audio signals were used as stimuli for eliciting expressions of affective states. Results show that an event driven discrete model would suffice deterministic representation of a finite number of affective states on an artificial robotic face.
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institution Curtin University Malaysia
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last_indexed 2025-11-14T10:08:50Z
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spelling curtin-20.500.11937-570442017-09-27T10:22:01Z Closed-Loop Petri Net Model for Implementing an Affective-State Expressive Robotic Face Hargreaves, T. Khan, Masood Mehmood Bensen, D. Tan, Tele A closed-loop Petri Net (PN) model was developed to exhibit, maintain and, withdraw facial expressions of six basic affective states, in a human-like manner, on a robotic face. The PN model was aimed to enable execution of major facial muscles-like-interactions between segments of a latex-made facial mask. The muscle-like interactions were based upon the widely accepted and used facial action coding systems. In order to validate the PN model, the facial mask, mounted on a 3-D printed artificial skull, was used as a robotic face. Human facial muscles like movements, generated on the surface of the facial mask, were able to express positive and negative affective states. Audio signals were used as stimuli for eliciting expressions of affective states. Results show that an event driven discrete model would suffice deterministic representation of a finite number of affective states on an artificial robotic face. 2016 Conference Paper http://hdl.handle.net/20.500.11937/57044 IEEE Press restricted
spellingShingle Hargreaves, T.
Khan, Masood Mehmood
Bensen, D.
Tan, Tele
Closed-Loop Petri Net Model for Implementing an Affective-State Expressive Robotic Face
title Closed-Loop Petri Net Model for Implementing an Affective-State Expressive Robotic Face
title_full Closed-Loop Petri Net Model for Implementing an Affective-State Expressive Robotic Face
title_fullStr Closed-Loop Petri Net Model for Implementing an Affective-State Expressive Robotic Face
title_full_unstemmed Closed-Loop Petri Net Model for Implementing an Affective-State Expressive Robotic Face
title_short Closed-Loop Petri Net Model for Implementing an Affective-State Expressive Robotic Face
title_sort closed-loop petri net model for implementing an affective-state expressive robotic face
url http://hdl.handle.net/20.500.11937/57044