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Volumn , Issue , 2012, Pages 213-218

Food texture estimation from chewing sound analysis

Author keywords

Bone conduction sensors; Eating habits monitoring; Hidden Markov model (HMM); Self organizing maps (SOM); Sound analysis; Wavelet features

Indexed keywords

CHEWING SOUNDS; CLASSIFICATION METHODS; EATING HABITS; FEATURES EXTRACTION; FOOD TEXTURE; NEW MODEL; NUMBER OF PEOPLES; OVER WEIGHTS; SOUND ANALYSIS; WAVELET FEATURES; WEARABLE SENSORS;

EID: 84861982593     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (14)
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  • 3
    • 0024403309 scopus 로고
    • Body mass index at the age of 18 and its effects on 32-year-mortality from coronary heart disease and cancer. A nested case-control study among the entire 1932 Dutch male birth cohort
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    • (1989) Journal of Clinical Epidemiology , vol.6 , Issue.6 , pp. 513-520
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  • 6
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    • Influence of age and dental status on chewing behavior studied by emg recordings during consumption of various food samples
    • Kohyama, K., Mioche, L., and Bourdiol, P. (2003). Influence of age and dental status on chewing behavior studied by emg recordings during consumption of various food samples. Gerontology, Vol. 20, No. 1, pages 15-23.
    • (2003) Gerontology , vol.20 , Issue.1 , pp. 15-23
    • Kohyama, K.1    Mioche, L.2    Bourdiol, P.3
  • 7
    • 0000562670 scopus 로고
    • Decomposition of hardy functions into square integrable wavelets of constant shape
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    • (1984) SIAM. Math. Anal. , pp. 723-736
    • Morlet, J.1
  • 10
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    • Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
    • Peng, H., Long, F., and Ding, C. (2005). Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 27, No. 8, pages 1226-1238.
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 12
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    • Mr2pso: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification
    • Unler, A., Murat, A., and Chinnam, R. B. (2010). mr2pso: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification. Information Sciences Vol. 181, Issue 20, pages 4625-4641.
    • (2010) Information Sciences , vol.181 , Issue.20 , pp. 4625-4641
    • Unler, A.1    Murat, A.2    Chinnam, R.B.3
  • 13
    • 77951110574 scopus 로고
    • Texture profile pattern of foods by profile terms and texturometer
    • (in japanese)
    • Yoshikawa, S. and Okabe, M. (1978). Texture profile pattern of foods by profile terms and texturometer (in japanese). Report of National Food Research Institute, Vol. 33, pages 123-129.
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    • Yoshikawa, S.1    Okabe, M.2
  • 14
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    • Feature selection for modular ga-based classification
    • Zhu, F. and Guan, S. (2004). Feature selection for modular ga-based classification. Applied Soft Computing Vol. 4, Issue 4, pages 381-393.
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    • Zhu, F.1    Guan, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.