Facial Muscle Activity Patterns for Recognition of Utterances in Native and Foreign Language: Testing for its Reliability and Flexibility

Arjunan, SP; Kumar, DK; Weghorn, H; Naik, G

Facial Muscle Activity Patterns for Recognition of Utterances in Native and Foreign Language: Testing for its Reliability and Flexibility

Arjunan, SP Kumar, DK Weghorn, H Naik, G

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Publisher:: IGI Global
Publication Type:: Chapter
Citation:: Cross-Disciplinary Applications of Artificial Intelligence, 2012, 1, pp. 212 - 231
Issue Date:: 2012-01

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Field	Value	Language
dc.contributor.author	Arjunan, SP	en_US
dc.contributor.author	Kumar, DK	en_US
dc.contributor.author	Weghorn, H	en_US
dc.contributor.author	Naik, G https://orcid.org/0000-0003-1790-9838	en_US
dc.contributor.editor	Mago, VK	en_US
dc.contributor.editor	Bhatia, N	en_US
dc.date.issued	2012-01	en_US
dc.identifier.citation	Cross-Disciplinary Applications of Artificial Intelligence, 2012, 1, pp. 212 - 231	en_US
dc.identifier.isbn	9781613504291	en_US
dc.identifier.uri	http://hdl.handle.net/10453/26625
dc.description.abstract	The need for developing reliable and flexible human computer interface is increased and applications of HCI have been in each and every field. Human factors play an important role in these kinds of interfaces. Research and development of new human computer interaction (HCI) techniques that enhance the flexibility and reliability for the user are important. Research on new methods of computer control has focused on three types of body functions: speech, bioelectrical activity, and use of mechanical sensors. Speech operated systems have the advantage that these provide the user with flexibility. Such systems have the potential for making computer control effortless and natural. This chapter summarizes research conducted to investigate the use of facial muscle activity for a reliable interface to identify voiceless speech based commands without any audio signals. System performance and reliability have been tested to study inter-subject and inter-day variations and impact of the native language of the speaker. The experimental results indicate that such a system has high degree of inter-subject and inter-day variations. The results also indicate that the variations of the style of speaking in the native language are low but are high when the speaker speaks in a foreign language. The results also indicate that such a system is suitable for a very small vocabulary. The authors suggest that facial sEMG based speech recognition systems may only find limited applications.	en_US
dc.publisher	IGI Global	en_US
dc.relation.ispartof	Cross-Disciplinary Applications of Artificial Intelligence	en_US
dc.relation.isbasedon	10.4018/978-1-61350-429-1.ch012	en_US
dc.title	Facial Muscle Activity Patterns for Recognition of Utterances in Native and Foreign Language: Testing for its Reliability and Flexibility	en_US
dc.type	Chapter
utslib.location	Hershey, Pennsylvania,	en_US
utslib.for	090609 Signal Processing	en_US
utslib.for	0903 Biomedical Engineering	en_US
utslib.citation.edition	1	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.edition	1	en_US
pubs.place-of-publication	Hershey, Pennsylvania,	en_US

Abstract:

The need for developing reliable and flexible human computer interface is increased and applications of HCI have been in each and every field. Human factors play an important role in these kinds of interfaces. Research and development of new human computer interaction (HCI) techniques that enhance the flexibility and reliability for the user are important. Research on new methods of computer control has focused on three types of body functions: speech, bioelectrical activity, and use of mechanical sensors. Speech operated systems have the advantage that these provide the user with flexibility. Such systems have the potential for making computer control effortless and natural. This chapter summarizes research conducted to investigate the use of facial muscle activity for a reliable interface to identify voiceless speech based commands without any audio signals. System performance and reliability have been tested to study inter-subject and inter-day variations and impact of the native language of the speaker. The experimental results indicate that such a system has high degree of inter-subject and inter-day variations. The results also indicate that the variations of the style of speaking in the native language are low but are high when the speaker speaks in a foreign language. The results also indicate that such a system is suitable for a very small vocabulary. The authors suggest that facial sEMG based speech recognition systems may only find limited applications.

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http://hdl.handle.net/10453/26625