Presentation 2013-11-14
The detection of unpleasant feeling from the sounds obtained inside of the body
Hiroyuki KAMITABIRA, Yoichi MIDORIKAWA, Masanori AKITA,
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Abstract(in English) We have been studying detect the sound signals in the human body using piezoelectric sensor and NAM microphone for prediction of sleep in sleep-wake state. As a result, we have showed that relationship between the feature of low-frequency band and respiratory conditions by analyzing the data using frequency analysis. And we have also showed that we can detect the signals of prediction of sleepiness from the feature parameters which are converted into the spectral envelopes. In this report, the sounds in the human body are measured and the relationship between the sound and the changes of feeling are examined using the same analysis method. We try to catch the changes of the spectral envelopes for detecting the unpleasant feeling. And differences between unpleasant feeling and sleepiness are also reported.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) The sounds obtained inside of the body / Unpleasant feeling / Cepstrum / Piezoelectric sensor / NAM microphone
Paper # EA2013-69,EMM2013-69
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Committee EA
Conference Date 2013/11/7(1days)
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Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The detection of unpleasant feeling from the sounds obtained inside of the body
Sub Title (in English)
Keyword(1) The sounds obtained inside of the body
Keyword(2) Unpleasant feeling
Keyword(3) Cepstrum
Keyword(4) Piezoelectric sensor
Keyword(5) NAM microphone
1st Author's Name Hiroyuki KAMITABIRA
1st Author's Affiliation Faculty of Engineering, Oita University()
2nd Author's Name Yoichi MIDORIKAWA
2nd Author's Affiliation Faculty of Engineering, Oita University
3rd Author's Name Masanori AKITA
3rd Author's Affiliation Faculty of Engineering, Oita University
Date 2013-11-14
Paper # EA2013-69,EMM2013-69
Volume (vol) vol.113
Number (no) 290
Page pp.pp.-
#Pages 6
Date of Issue