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Emotion walking for humanoid avatars using brain signals

Interaction between humans and humanoid avatar representations is very important in virtual reality and robotics, since the humanoid avatar can represent either a human or a robot in a virtual environment. Many researchers have focused on providing natural interactions for humanoid avatars or even f...

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Main Author: Basori, Ahmad Hoirul
Format: Article
Language:English
Published: Sage Journals 2013
Subjects:
QA76 Computer software
Online Access:http://eprints.utm.my/id/eprint/49592/1/AhmadHoirulBasori2013_Emotionwalkingforhumanoid.pdf
http://eprints.utm.my/id/eprint/49592/
https://dx.doi.org/10.5772/54764
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id my.utm.49592
record_format eprints
spelling my.utm.495922018-10-14T08:26:27Z http://eprints.utm.my/id/eprint/49592/ Emotion walking for humanoid avatars using brain signals Basori, Ahmad Hoirul QA76 Computer software Interaction between humans and humanoid avatar representations is very important in virtual reality and robotics, since the humanoid avatar can represent either a human or a robot in a virtual environment. Many researchers have focused on providing natural interactions for humanoid avatars or even for robots with the use of camera tracking, gloves, giving them the ability to speak, brain interfaces and other devices. This paper provides a new multimodal interaction control for avatars by combining brain signals, facial muscle tension recognition and glove tracking to change the facial expression of humanoid avatars according to the user's emotional condition. The signals from brain activity and muscle movements are used as the emotional stimulator, while the glove acts as emotion intensity control for the avatar. This multimodal interface can determine when the humanoid avatar needs to change their facial expression or their walking power. The results show that humanoid avatar have different timelines of walking and facial expressions when the user stimulates them with different emotions. This finding is believed to provide new knowledge on controlling robots' and humanoid avatars' facial expressions and walking Sage Journals 2013 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/49592/1/AhmadHoirulBasori2013_Emotionwalkingforhumanoid.pdf Basori, Ahmad Hoirul (2013) Emotion walking for humanoid avatars using brain signals. International Journal of Advanced Robotic Systems, 10 . ISSN 1729-8806 https://dx.doi.org/10.5772/54764 DOI: 10.5772/54764
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Basori, Ahmad Hoirul
Emotion walking for humanoid avatars using brain signals
description Interaction between humans and humanoid avatar representations is very important in virtual reality and robotics, since the humanoid avatar can represent either a human or a robot in a virtual environment. Many researchers have focused on providing natural interactions for humanoid avatars or even for robots with the use of camera tracking, gloves, giving them the ability to speak, brain interfaces and other devices. This paper provides a new multimodal interaction control for avatars by combining brain signals, facial muscle tension recognition and glove tracking to change the facial expression of humanoid avatars according to the user's emotional condition. The signals from brain activity and muscle movements are used as the emotional stimulator, while the glove acts as emotion intensity control for the avatar. This multimodal interface can determine when the humanoid avatar needs to change their facial expression or their walking power. The results show that humanoid avatar have different timelines of walking and facial expressions when the user stimulates them with different emotions. This finding is believed to provide new knowledge on controlling robots' and humanoid avatars' facial expressions and walking
format Article
author Basori, Ahmad Hoirul
author_facet Basori, Ahmad Hoirul
author_sort Basori, Ahmad Hoirul
title Emotion walking for humanoid avatars using brain signals
title_short Emotion walking for humanoid avatars using brain signals
title_full Emotion walking for humanoid avatars using brain signals
title_fullStr Emotion walking for humanoid avatars using brain signals
title_full_unstemmed Emotion walking for humanoid avatars using brain signals
title_sort emotion walking for humanoid avatars using brain signals
publisher Sage Journals
publishDate 2013
url http://eprints.utm.my/id/eprint/49592/1/AhmadHoirulBasori2013_Emotionwalkingforhumanoid.pdf
http://eprints.utm.my/id/eprint/49592/
https://dx.doi.org/10.5772/54764
_version_ 1643652741171511296
score 13.211869

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