Presentation 1997/6/27
Detection of Human Activity using Cepstrum of Gas Sensor Responses
Shigeki Hirobayashi, Masakazu Yamazaki, Haruhiko Kimura, Takashi Ohyabu,
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Abstract(in English) We modeled fluid transfer field at gas sensor responses, and analyed changes in the indoor environment. The results of this analysis indicate that transfer characteristics can be extracted by blind deconvolution using the low time windowing of complex cepstrum, and inverse filtration of the thus estimated space transfer characteristics allows us to extract drive signals proportional to the amounts of human activity. In an experiment in which the indoor environmental changes during daily life were measured, and drive signals were obtained. These results suggest that fhe detection of human actions can be improved by eliminating the residual components from the gas sensor responses.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Blind Deconvolution / Cepstrum / Gas Sensor / Human Activity / Inverse Filtering / Room Transfer Function
Paper # CPM97-37
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Committee OME
Conference Date 1997/6/27(1days)
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Registration To Organic Material Electronics (OME)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of Human Activity using Cepstrum of Gas Sensor Responses
Sub Title (in English)
Keyword(1) Blind Deconvolution
Keyword(2) Cepstrum
Keyword(3) Gas Sensor
Keyword(4) Human Activity
Keyword(5) Inverse Filtering
Keyword(6) Room Transfer Function
1st Author's Name Shigeki Hirobayashi
1st Author's Affiliation Depatment of Electrical & Computer Engineering, Kanazawa University()
2nd Author's Name Masakazu Yamazaki
2nd Author's Affiliation Depatment of Electrical & Computer Engineering, Kanazawa University
3rd Author's Name Haruhiko Kimura
3rd Author's Affiliation Depatment of Electrical & Computer Engineering, Kanazawa University
4th Author's Name Takashi Ohyabu
4th Author's Affiliation Faculty of Humanities, Toyama University of International Studies
Date 1997/6/27
Paper # CPM97-37
Volume (vol) vol.97
Number (no) 144
Page pp.pp.-
#Pages 6
Date of Issue