Literature DB >> 18723596

Accuracy assessment for AG500, electromagnetic articulograph.

Yana Yunusova1, Jordan R Green, Antje Mefferd.   

Abstract

PURPOSE: The goal of this article was to evaluate the accuracy and reliability of the AG500 (Carstens Medizinelectronik, Lenglern, Germany), an electromagnetic device developed recently to register articulatory movements in three dimensions. This technology seems to have unprecedented capabilities to provide rich information about time-varying positions of articulators. However, strengths and weaknesses of the system need to be better understood before the device is used for speech research.
METHOD: Evaluations of the sensor positions over time were obtained during (a) movements of the calibration device, (b) manual movements of sensors in a cartridge within the recording field of the cube, and (c) various speech tasks.
RESULTS: Results showed a median error to be under 0.5 mm across different types of recordings. The maximum error often ranged between 1 and 2 mm. The magnitude of error depended somewhat on the task but largely on the location of the sensors within the recording region of the cube.
CONCLUSION: The performance of the system was judged as adequate for speech movement acquisition, provided that specific steps are taken for minimizing error during recording and for validating the quality of recorded data.

Entities:  

Mesh:

Year:  2008        PMID: 18723596      PMCID: PMC2866108          DOI: 10.1044/1092-4388(2008/07-0218)

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  8 in total

1.  The physiologic development of speech motor control: lip and jaw coordination.

Authors:  J R Green; C A Moore; M Higashikawa; R W Steeve
Journal:  J Speech Lang Hear Res       Date:  2000-02       Impact factor: 2.297

Review 2.  Use of electromagnetic midsagittal articulography in the study of swallowing.

Authors:  Catriona M Steele; Pascal H H M Van Lieshout
Journal:  J Speech Lang Hear Res       Date:  2004-04       Impact factor: 2.297

3.  Electromagnetic midsagittal articulometer systems for transducing speech articulatory movements.

Authors:  J S Perkell; M H Cohen; M A Svirsky; M L Matthies; I Garabieta; M T Jackson
Journal:  J Acoust Soc Am       Date:  1992-12       Impact factor: 1.840

4.  An evaluation of an alternating magnetic field device for monitoring tongue movements.

Authors:  B Tuller; S Y Shao; J A Kelso
Journal:  J Acoust Soc Am       Date:  1990-08       Impact factor: 1.840

5.  Three-dimensional electromagnetic articulography: a measurement principle.

Authors:  Tokihiko Kaburagi; Kohei Wakamiya; Masaaki Honda
Journal:  J Acoust Soc Am       Date:  2005-07       Impact factor: 1.840

6.  Physiologic development of tongue-jaw coordination from childhood to adulthood.

Authors:  Hei Yan Cheng; Bruce E Murdoch; Justine V Goozée; Dion Scott
Journal:  J Speech Lang Hear Res       Date:  2007-04       Impact factor: 2.297

7.  Development of chewing in children from 12 to 48 months: longitudinal study of EMG patterns.

Authors:  J R Green; C A Moore; J L Ruark; P R Rodda; W T Morvée; M J VanWitzenburg
Journal:  J Neurophysiol       Date:  1997-05       Impact factor: 2.714

8.  Lip-jaw and tongue-jaw coordination during rate-controlled syllable repetitions.

Authors:  I Hertrich; H Ackermann
Journal:  J Acoust Soc Am       Date:  2000-04       Impact factor: 1.840

  8 in total
  18 in total

1.  An Optimal Set of Flesh Points on Tongue and Lips for Speech-Movement Classification.

Authors:  Jun Wang; Ashok Samal; Panying Rong; Jordan R Green
Journal:  J Speech Lang Hear Res       Date:  2016-02       Impact factor: 2.297

2.  Accuracy and precision of a custom camera-based system for 2-d and 3-d motion tracking during speech and nonspeech motor tasks.

Authors:  Yongqiang Feng; Ludo Max
Journal:  J Speech Lang Hear Res       Date:  2014-04-01       Impact factor: 2.297

3.  Discovering Multidimensional Motifs in Physiological Signals for Personalized Healthcare.

Authors:  Arvind Balasubramanian; Jun Wang; Balakrishnan Prabhakaran
Journal:  IEEE J Sel Top Signal Process       Date:  2016-03-17       Impact factor: 6.856

4.  Associations between tongue movement pattern consistency and formant movement pattern consistency in response to speech behavioral modifications.

Authors:  Antje S Mefferd
Journal:  J Acoust Soc Am       Date:  2016-11       Impact factor: 1.840

5.  Vowel Recognition from Articulatory Position Time-Series Data.

Authors:  Jun Wang; Ashok Samal; Jordan R Green; Tom D Carrell
Journal:  Int Conf Signal Process Commun       Date:  2009-09-28

6.  Spatiotemporal coupling of the tongue in amyotrophic lateral sclerosis.

Authors:  Mili S Kuruvilla; Jordan R Green; Yana Yunusova; Kathy Hanford
Journal:  J Speech Lang Hear Res       Date:  2012-05-21       Impact factor: 2.297

7.  Articulatory distinctiveness of vowels and consonants: a data-driven approach.

Authors:  Jun Wang; Jordan R Green; Ashok Samal; Yana Yunusova
Journal:  J Speech Lang Hear Res       Date:  2013-07-09       Impact factor: 2.297

8.  Multimodal Speech Capture System for Speech Rehabilitation and Learning.

Authors:  Nordine Sebkhi; Dhyey Desai; Mohammad Islam; Jun Lu; Kimberly Wilson; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Eng       Date:  2017-01-18       Impact factor: 4.538

9.  A protocol for comprehensive assessment of bulbar dysfunction in amyotrophic lateral sclerosis (ALS).

Authors:  Yana Yunusova; Jordan R Green; Jun Wang; Gary Pattee; Lorne Zinman
Journal:  J Vis Exp       Date:  2011-02-21       Impact factor: 1.355

10.  Generalizing DTW to the multi-dimensional case requires an adaptive approach.

Authors:  Mohammad Shokoohi-Yekta; Bing Hu; Hongxia Jin; Jun Wang; Eamonn Keogh
Journal:  Data Min Knowl Discov       Date:  2016-02-15       Impact factor: 3.670

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