DocumentCode
3284936
Title
Adaptive Facial Behaviour using Selected Machine Learning Methods
Author
Paus, A. ; Torresen, Jim ; HØvin, Mats
Author_Institution
Univ. of Oslo, Oslo
fYear
2007
fDate
5-8 Aug. 2007
Firstpage
225
Lastpage
232
Abstract
In the not so distant future, robots looking like humans may be part of our everyday lifestyle. Then it would be important that they provide a natural behaviour and mimic. To make this possible, the way artificial skin is controlled by a number of actuators would have to be addressed. In this paper, we compare a number of partly novel algorithms for adapting to a number of different eye brow expressions. The results indicate that the novel algorithms perform better than the existing algorithms.
Keywords
adaptive control; emotion recognition; face recognition; humanoid robots; learning (artificial intelligence); robot vision; adaptive control; adaptive facial behaviour; androids; eye brow expressions; humanoid robot; machine learning methods; Actuators; Biological materials; Biological system modeling; Humanoid robots; Humans; Informatics; Learning systems; Robotics and automation; Skin; Temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Adaptive Hardware and Systems, 2007. AHS 2007. Second NASA/ESA Conference on
Conference_Location
Edinburgh
Print_ISBN
978-0-7695-2866-3
Type
conf
DOI
10.1109/AHS.2007.20
Filename
4291925
Link To Document