Project/Area Number  09480052 
Research Category 
GrantinAid for Scientific Research (B).

Section  一般 
Research Field 
計算機科学

Research Institution  NAGOYA UNIVERSITY 
Principal Investigator 
HASEGAWA Katsuo NAGOYA UNIVERSITY, GRADUATE SCHOOL GRADUATE SCHOOL OF MATHEMATICS, PROFESSOR, 大学院・多元数理科学研究科, 教授 (70004463)

CoInvestigator(Kenkyūbuntansha) 
真継 隆 名古屋大学, 大学院・多元数理科学研究科, 教授 (60022456)
大澤 研二 名古屋大学, 大学院・多元数理科学研究科, 助教授 (50203758)
MIYAO Masaru NAGOYA UNIVERSITY, GRADUATE SCHOOL GRADUATE SCHOOL OF MATHEMATICS, PROFESSOR, 大学院・多元数理科学研究科, 教授 (70157593)
MIHASHI Koushin NAGOYA UNIVERSITY, GRADUATE SCHOOL GRADUATE SCHOOL OF MATHEMATICS, PROFESSOR, 大学院・多元数理科学研究科, 教授 (30022594)
四方 義啓 名古屋大学, 大学院・多元数理科学研究科, 教授 (50028114)
高橋 誠 名古屋大学, 大学院・多元数理科学研究科, 教授 (00281064)
HIRASHITA Fumiyasu NAGOYA UNIVERSITY, GRADUATE SCHOOL GRADUATE SCHOOL OF MATHEMATICS, PROFESSOR, 大学院・多元数理科学研究科, 教授 (80314061)

Project Fiscal Year 
1997 – 2000

Project Status 
Completed(Fiscal Year 2000)

Budget Amount *help 
¥11,300,000 (Direct Cost : ¥11,300,000)
Fiscal Year 2000 : ¥1,600,000 (Direct Cost : ¥1,600,000)
Fiscal Year 1999 : ¥1,200,000 (Direct Cost : ¥1,200,000)
Fiscal Year 1998 : ¥1,100,000 (Direct Cost : ¥1,100,000)
Fiscal Year 1997 : ¥7,400,000 (Direct Cost : ¥7,400,000)

Keywords  Analysis of snoring sounds / Fourier Transformation / Visualization / Feature extraction / Spectrogram / Mathematical method / いびき音解析 / フーリエ変換(FFT) / 視覚化 / 特徴抽出 / スペクトログラム / 数理科学的手法 
Research Abstract 
After four years of research on feature extraction in classifying sounds like snore by using mathematical methods, we can show you at least four important results. As written in the proposal, we had intended to focus to survey the pattern recognition mechanism. However, it gradually became clear the recognition is deeply related with the structure of brain and mind, most active field all over the world. During the analysis of recorded snoring sounds using Fourier transformation, we found the existence of life security system working for 24 hours ready in emergency to recover from suffocation caused by tongue plug. First, the patterns of many snoring sounds were transformed into visual graphic patterns using Fourier transformation. Second, using mathematics like linear algebra and differential geometry, many models of neural networks were surveyed and learning mechanism was analyzed. Then we found the fact each neuron is making a decision comparing the total input amount of stimulation with its threshold so that the network can make closed area that can be regarded as a memory category. This process of cogitation inspired us to discover new algorithm of inference designated as the Half Defined Inference Method (HDIM). We also discovered the very much fundamental theory designated as the Two Face Theory (TFT).
