Observation of tongue movements employing magnetometer sensor

Sonoda, Yorinobu

doi:10.1109/tmag.1974.1058464

Cited by 26 publications

(14 citation statements)

References 5 publications

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“…Some recent studies present solutions that consist of a small magnet or a piece of ferromagnetic material attached to the tongue tip via gluing or piercing, and a sensor array that detects the tongue tip position [9][10][11][12][13]. Sensor systems that include a small permanent magnet fixed to the tongue tip and an array of magnetic sensors have been presented in the literature [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Tongue interface based on surface EMG signals of suprahyoid muscles

et al. 2016

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The research described herein was undertaken to develop and test a novel tongue interface based on classification of tongue motions from the surface electromyography (EMG) signals of the suprahyoid muscles detected at the underside of the jaw. The EMG signals are measured via 22 active surface electrodes mounted onto a special flexible boomerang-shaped base. Because of the sensor's shape and flexibility, it can adapt to the underjaw skin contour. Tongue motion classification was achieved using a support vector machine (SVM) algorithm for pattern recognition where the root mean square (RMS) features and cepstrum coefficients (CC) features of the EMG signals were analyzed. The effectiveness of the approach was verified with a test for the classification of six tongue motions conducted with a group of five healthy adult volunteer subjects who had normal motor tongue functions. Results showed that the system classified all six tongue motions with high accuracy of 95.1 ± 1.9 %. The proposed method for control of assistive devices was evaluated using a test in which a computer simulation model of an electric wheelchair was controlled using six tongue motions. This interface system, which weighs only 13.6 g and which has a simple appearance, requires no installation of any sensor into the mouth cavity. Therefore, it does not hinder user activities such as swallowing, chewing, or talking. The number of tongue motions is sufficient for the control of most assistive devices.

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Section: Introductionmentioning

confidence: 99%

“…Sensor systems that include a small permanent magnet fixed to the tongue tip and an array of magnetic sensors have been presented in the literature [9][10][11]. Some earlier reports introduced a tongue interface that includes an air-cored coil with inductance changed by a small ferromagnetic stud attached to the tongue [12,13].…”

Section: Introductionmentioning

confidence: 99%

Tongue interface based on surface EMG signals of suprahyoid muscles

et al. 2016

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“…Efforts have been made to develop practical articulatory measuring systems with aim of data collection in a safe [3] and relatively inexpensive manner [4,5]. Among them, methods using magnetic and optical principles have great advantages in data collection with safety, ease, and high accuracy [6,7]. This paper introduces an integrated system for measuring articulatory movements and speech signals.…”

Section: Introductionmentioning

confidence: 99%

“…Figure 2 shows a typical sensor arrangement of the magnetometer sensor unit for measuring tongue movements. The unit is designed on a similar principle to that used in the earlier prototype system [6]. The positions of the magnetic rods are obtained by the magnetometer sensors based on the relationship between magnetic field intensity and distance to magnetic sources, and thus tongue dynamics is observed as movements of the magnetic rods.…”

Section: Introductionmentioning

confidence: 99%

Articulatory measuring system by using magnetometer and optical sensors

Ogata

Sonoda

2001

Acoust. Sci. & Tech.

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This paper introduces a motion tracking system useful for monitoring articulatory movements. The system is made up in combination of two sensor units, magnetometer and optical sensors. The magnetometer unit consists of sensors having two amorphous alloy cores and small permanent magnetic rods glued on the tongue surface. The measuring principle is based on a change in the intensity of the magnetic field related to the distances between the rods and sensors. The optical sensor unit consists of a position-sensitive device (PSD) and light-emitting diodes (LEDs) which are attached to several selected points of articulators. Simultaneous measurements have been done in combination with the magnetic sensing unit and the optical one. Two points on the tongue surface were measured by making use of the magnetic sensing unit, and five points; two points for the jaw, two points for the lips, and one point for the nose, were measured by use of the optical sensing unit.

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“…Sonoda [1974] used two sensors outside the oral cavity and a permanent magnetic rod on the tongue, thus only one point on the tongue could be measured. Instead of permanent (DC) fields, Hixon [1971] and van der Giet [1977] used alternating (AC) fields, which allows simultaneous measurement of several points by using different frequencies.…”

Section: Introductionmentioning

confidence: 99%

Two Magnetic Methods for Articulatory Measurements

Panagos¹,

Strube²

1987

Phonetica

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We present two magnetic methods for measuring articulatory activities. Unlike previous methods, the magnetic fields are uniform. Three alternating magnetic fields induce voltages in two detectors, a magnetic potentiometer and a flat coil. Thus we are able to measure jaw and tongue movements during speech production. These methods are biologically safe. The miniaturized detectors do not disturb the speech movements. Some preliminary results are presented. These methods can also be applied for other kinds of vectorial distance measurement.

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Observation of tongue movements employing magnetometer sensor

Cited by 26 publications

References 5 publications

Tongue interface based on surface EMG signals of suprahyoid muscles

Tongue interface based on surface EMG signals of suprahyoid muscles

Articulatory measuring system by using magnetometer and optical sensors

Two Magnetic Methods for Articulatory Measurements

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