Top > JRM > Evaluation of Spoken Language Understanding by Oxygenated Hemo ...

single-rb.php

JRM Vol.22 No.1 pp. 3-9
doi: 10.20965/jrm.2010.p0003
(2010)

Paper:

Views over last 60 days: 365

Evaluation of Spoken Language Understanding by Oxygenated Hemoglobin Concentration

Akio Nozawa*, Tota Mizuno**,
Hirotoshi Asano***, and Hideto Ide***

*Meisei University, 2-1-1 Hodokubo, Hino, Tokyo, Japan

**Tokyo Polytechnic University, 1583 Iiyama, Atsugi, Kanagawa, Japan

***Aoyama Gakuin University, 5-10-1 Fuchinobe, Sagamihara, Kanagawa, Japan

Received:
September 30, 2008
Accepted:
July 8, 2009
Published:
February 20, 2010
Creative Commons License
Keywords:
speech language understanding, subjective understanding, near-infrared spectroscopy, optical topography, oxygenated hemoglobin
Abstract
The subjective understanding of spoken language understanding is quantitatively evaluated by variations in oxygenated hemoglobin concentration measured by near-infrared spectroscopy. English listening comprehension tests consisting of two levels of difficulty were taken by 4 subjects during measurement. A correlation was found between subjective understanding and variations in oxygenated hemoglobin concentration.
Cite this article as:
A. Nozawa, T. Mizuno, H. Asano, and H. Ide, “Evaluation of Spoken Language Understanding by Oxygenated Hemoglobin Concentration,” J. Robot. Mechatron., Vol.22 No.1, pp. 3-9, 2010.
Data files:
References
  1. [1] A. Mimura and M. Hagiwara, “Understanding Presumption System from Fatial Images,” T.IEE Japan, Vol.120-C, No.2, pp. 273-278, 2000 (in Japanese).
  2. [2] A. Nozawa, M. Uchida, and H. Ide, “Estimation Method of Information Understanding in Communication by Nasal Skin Thermogram,” IEEJ Trans. FM, Vol.126, No.9, pp. 909-914, 2006 (in Japanese).
  3. [3] A. Makino, “Topographic EEG analisis in relation to higher brain function,” Clinical Electroencephalography, Vol.29, No.7, pp. 429-438, 1987 (in Japanese).
  4. [4] K. Suzuki and K. Sakai, “An event-related fMRI study of explicit syntactic processing of normal/anomalous sentences in contrast to implicit syntactic processing,” Cereb Cortex 13, pp. 517-526, 2003.
  5. [5] A. Maki, Y. Yamashita, Y. Ito, E. Watanabe, Y. Mayanagi, and H. Koizumi, “Spatial and temporal analysis of human motor activity using noninvasive NIR topography,” Med Phys, Vol.22, No.12, pp. 1997-2005, 1995.
  6. [6] Y. Yamashita, A. Maki, Y. Ito, E. Watanabe, H. Mayanagi, and H. Koizumi, “Noninvasive near-infrared topography of human brain activity using intensity modulation spectroscopy,” Opt. Eng. 35, pp. 1046-1099, 1996.
  7. [7] E.Watanabe, Y. Yamashita, A.Maki, Y. Ito, and H. Koizumi, “Noninvasive functional mapping with multi-channel near infra-red spectroscopic topography in humans,” Neurosci. Lett., Vol.205 No.1, pp. 41-44, 1996.
  8. [8] H. Koizumi, Y. Yamashita, A. Maki, T. Yamamoto, Y. Ito, and H. Itagaki, “R. P. Kennan Higher-order brain function analysis by trans-cranial dynamic near-infrared spectroscopy imaging,” J. Biomed. Opt. Vol.4, No.4, pp. 403-413, 1999.
  9. [9] N. Geschwind, “The organization of language and the brain,” Science, 170, pp. 940-944, 1970.
  10. [10] H. Sato, T. Takeuchi, and K. L. Sakai, “Temporal cortex activation during speech recognition: An optical topography study,” Cognition, Vol.73, pp. B55-B66, 1999.
  11. [11] G. Ojemann, J. Ojemann, E. Lettich, and M. Berger, “Cortical language localization in left, dominant hemisphere,” J. of Neurosurgery, Vol.71, pp. 316-326, 1989.

Creative Commons License  This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

Copyright© 2010 by Fuji Technology Press Ltd. and Japan Society of Mechanical Engineers. All right reserved.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Sep. 21, 2023