Reliability of facial muscle activity to identify vowel utterance

Ganesh R. Naik, Dinesh K. Kumar, Sridhar P. Arjunan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


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 'reasonable' 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.

Original languageEnglish
Title of host publicationTENCON 2008 - 2008 IEEE Region 10 Conference
Place of PublicationHyderabad
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)1424424089, 9781424424085
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE Region 10 Conference, TENCON 2008 - Hyderabad, India
Duration: 19 Nov 200821 Nov 2008

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON


Conference2008 IEEE Region 10 Conference, TENCON 2008


Dive into the research topics of 'Reliability of facial muscle activity to identify vowel utterance'. Together they form a unique fingerprint.

Cite this