DocumentCode
2525102
Title
Reliability of facial muscle activity to identify vowel utterance
Author
Naik, Ganesh R. ; Kumar, Dinesh K. ; Arjunan, Sridhar P.
Author_Institution
Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC
fYear
2008
fDate
19-21 Nov. 2008
Firstpage
1
Lastpage
6
Abstract
This paper evaluates the reliability of the use of muscle activation during unuttered (silent) vowel by an individual and reports the study of repeating of the experiments over several days. Surface electromyogram has been used as an indicator of muscle activity and independent component analysis (ICA) has been used to separate the electrical activity from different muscles. The results demonstrate that there is dasiareasonablepsila relationship between muscle activities of the corresponding muscles when the experiments are repeated. The results also indicate that there is a variation when the same sound is spoken at different speeds of utterances. This can be attributable to the lack of audio feedback when the same sound is uttered. This analysis will be useful for the research undertaking facial surface electromyography (sEMG) for speech analysis, which is being considered as a potential human computer interface (HCI) for people suffering from motor disabilities.
Keywords
electromyography; human computer interaction; independent component analysis; reliability; HCI; ICA; audio feedback; electrical activity; facial muscle activity reliability; facial surface electromyography; human computer interface; independent component analysis; motor disabilities; speech analysis; vowel utterance identification; Computer interfaces; Crosstalk; Electromyography; Facial muscles; Human computer interaction; Independent component analysis; Sensor systems; Shape; Speech analysis; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2008 - 2008 IEEE Region 10 Conference
Conference_Location
Hyderabad
Print_ISBN
978-1-4244-2408-5
Electronic_ISBN
978-1-4244-2409-2
Type
conf
DOI
10.1109/TENCON.2008.4766434
Filename
4766434
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