- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Utterance Detection by Intraoral Acceleration Sensor
-
- Saiki Tsunemasa
- Hyogo Prefectural Institute of Technology
-
- Takizawa Yukako
- Hyogo Prefectural Institute of Technology
-
- Hashizume Tsutomu
- Hyogo Institute of Assistive Technology
-
- Higuchi Kohei
- Japan Science and Technology Agency
-
- Fujita Takayuki
- University of Hyogo
-
- Maenaka Kazusuke
- University of Hyogo
Bibliographic Information
- Other Title
-
- 口腔内加速度センサを用いた発声検出
- コウクウ ナイ カソクド センサ オ モチイタ ハッセイ ケンシュツ
Search this article
Description
In order to establish monitoring systems for home health in elderly people including the prevention of mental illness, we investigated the acceleration of teeth in utterance on the assumption that an acceleration sensor can be implanted into an artificial denture in the near future. In the experiment, an acceleration sensor was fixed in front of the central incisors on the lower jaw by using a denture adhesive, and female and male subjects spoke five Japanese vowels. We then measured the teeth accelerations in three (front-to-back, right-to-left and top-to-bottom) axes and conducted frequency analyses. The result showed that high power spectral densities of the teeth accelerations were observed at a low frequency range of 2-10Hz (both the female and the male) and at a high frequency range of 200-300Hz (the female) or 100-150 Hz (the male). The low and high frequency components indicate movements of the lower jaw and voice sounds by bone conduction, respectively. Especially in the top-to-bottom axis of the central incisor, the frequency component appeared to be significant. Therefore, we found that utterance can be efficiently detected using the acceleration in this axis. We also found that three conditions of normal speech, lip synchronizing and humming can be recognized by using frequency analysis of the acceleration in the top-to-bottom axis of the central incisor.
Journal
-
- IEEJ Transactions on Electronics, Information and Systems
-
IEEJ Transactions on Electronics, Information and Systems 131 (4), 826-832, 2011
The Institute of Electrical Engineers of Japan
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390001204608839680
-
- NII Article ID
- 10027979943
-
- NII Book ID
- AN10065950
-
- BIBCODE
- 2011ITEIS.131..826S
-
- ISSN
- 13488155
- 03854221
-
- NDL BIB ID
- 11065332
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
-
- Abstract License Flag
- Disallowed