Project/Area Number |
04454490
|
Research Category |
Grant-in-Aid for General Scientific Research (B)
|
Allocation Type | Single-year Grants |
Research Field |
補綴理工系歯学
|
Research Institution | Showa University |
Principal Investigator |
YAMAGATA Kensuke Showa University School of Dentistry professor, 歯学部, 教授 (60013893)
|
Co-Investigator(Kenkyū-buntansha) |
KITAGAWA Noboru Showa University School of Dentistry leceturer, 歯学部, 講師 (80177831)
KIM Shutaku Showa University School of Dentistry leceturer, 歯学部, 講師 (00205048)
藤田 春雄 昭和大学, 歯学部, 助手
|
Project Period (FY) |
1992 – 1994
|
Project Status |
Completed (Fiscal Year 1994)
|
Budget Amount *help |
¥4,000,000 (Direct Cost: ¥4,000,000)
Fiscal Year 1994: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1993: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1992: ¥3,000,000 (Direct Cost: ¥3,000,000)
|
Keywords | Speech / Motion analysis / High-speed video / Facial movement / Mandibular movement / Retro-reflective marker / Auto tracking / Sound spectrograph |
Research Abstract |
We developed a cordless light-emitting, retroreflective target marker that produces a clear shining point when illuminated by a cold spotlight. This enabled the recording and autotracking of the multiple facial targets on an image processor. The facial targets and the voice of each subject were simultaneously recorded on the same video tape by two high-speed TV cameras, each focused on a different aspect of the face. The image and its voice components were respectively fed into an Image Data processor (ID-8000) and a DSP Sona-Graph. Each timeframe during which each consonant was pronounced was identified and numbered on the the basis of its waveform and/or sound spectrogram. The movement of each facial target during each time-frame was tracked automatically by the Image Data processor and the 3-dimensional coordinated data was transferred to a computer. The trajectory of each monitored target during pronunciation of each tested consonant was computed by a 3-D analyzer (Movias 3D) with reference to the following parameters : the total length from start to finish of the trajectory (TL) ; the distance between the start and finish of the trajectory (SL) ; the ratio of the TL to the SL (T/S) ; the volume of the rectangular solid encompassing the entire trajectory (cubical range) ; and the mean of the 3-dimensional angles caused by differences in the direction of the preceding and following trajectories at each measured time point (TH). The advantages of this method are that it gives an actual sequence of the real images in motion, not just a symbolic or mathematical representation of movement.
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