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Freitas, João, Silva, Samuel, Teixeira, António & Dias, Miguel Sales (2014). Assessing the applicability of surface EMG to tongue gesture detection. In Juan Luis Navarro Mesa; Alfonso Ortega; António Teixeira; Eduardo Hernández Pérez; Pedro Quintana Morales; Antonio Ravelo García; Iván Guerra Moreno; Doroteo T. Toledano (Ed.), Advances in Speech and Language Technologies for Iberian Languages. (pp. 189-198). Switzerland: Springer International Publishing.

J. Freitas et al.,  "Assessing the applicability of surface EMG to tongue gesture detection", in Advances in Speech and Language Technologies for Iberian Languages, Juan Luis Navarro Mesa; Alfonso Ortega; António Teixeira; Eduardo Hernández Pérez; Pedro Quintana Morales; Antonio Ravelo García; Iván Guerra Moreno; Doroteo T. Toledano, Ed., Switzerland, Springer International Publishing, 2014, vol. 8854, pp. 189-198

@incollection{freitas2014_1732210773692,
	author = "Freitas, João and Silva, Samuel and Teixeira, António and Dias, Miguel Sales",
	title = "Assessing the applicability of surface EMG to tongue gesture detection",
	booktitle = "Advances in Speech and Language Technologies for Iberian Languages",
	year = "2014",
	volume = "8854",
	series = "Lecture Notes in Artificial Intelligence",
	edition = "Lecture Notes in Computer Science ",
	pages = "189-189",
	publisher = "Springer International Publishing",
	address = "Switzerland",
	url = "http://www.scopus.com/inward/record.url?eid=2-s2.0-84921403499&partnerID=MN8TOARS"
}

TY  - CHAP
TI  - Assessing the applicability of surface EMG to tongue gesture detection
T2  - Advances in Speech and Language Technologies for Iberian Languages
VL  - 8854
AU  - Freitas, João
AU  - Silva, Samuel
AU  - Teixeira, António
AU  - Dias, Miguel Sales
PY  - 2014
SP  - 189-198
DO  - 10.1007/978-3-319-13623-3_20
CY  - Switzerland
UR  - http://www.scopus.com/inward/record.url?eid=2-s2.0-84921403499&partnerID=MN8TOARS
AB  - The most promising approaches for surface Electromyography (EMG) based speech interfaces commonly focus on the tongue muscles. Despite the interesting results in small vocabularies tasks, it is yet unclear which articulation gestures these sensors are actually detecting. To address these complex aspects, in this study we propose a novel method, based on synchronous acquisition of surface EMG and Ultrasound Imaging (US) of the tongue, to assess the applicability of EMG to tongue gesture detection. In this context, the US image sequences allow us to gather data concerning tongue movement over time, providing the grounds for the EMG analysis. Using this multimodal setup, we have recorded a corpus that covers several tongue transitions (e.g. back to front) in different contexts. Considering the annotated tongue movement data, the results from the EMG analysis show that tongue transitions can be detected using the EMG sensors, with some variability in terms of sensor positioning, across speakers, and the possibility of high false-positive rates.
ER  -