Presentation 2005/7/25
A visualization method of sensor's relationship from chronological order of sensor data
Kazushi NAKAMURA, Kenichi FUKUI, Koichi MORIYAMA, Satoshi KURIHARA, Masayuki NUMAO,
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Abstract(in English) We propose the visualization method of sensor's relationship from chronological order of sensor data, without elaborate prior configuration or geometorical infomation of sensors. It is useful to build a frame of new interaction in ubiquitous environment. We extract a human custom action pattern to give it to sensor network environment and learn it, and ubiquitous environment offering appropriate services to is demanded. It seems that automatic configuration of a massively sensor network becomes need for ubiquitous environmental realization. In this paper, we describe a trial to extract relationship of the experimental sensor network and visualize it.
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Keyword(in English) ubiquitous system / sensor-network / visualization / noise reduction
Paper # AI2005-13
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Committee AI
Conference Date 2005/7/25(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A visualization method of sensor's relationship from chronological order of sensor data
Sub Title (in English)
Keyword(1) ubiquitous system
Keyword(2) sensor-network
Keyword(3) visualization
Keyword(4) noise reduction
1st Author's Name Kazushi NAKAMURA
1st Author's Affiliation Graduate School of Infomation Science and Technology, Osaka University()
2nd Author's Name Kenichi FUKUI
2nd Author's Affiliation The Institute of Scientific and Industrial Research, Osaka University
3rd Author's Name Koichi MORIYAMA
3rd Author's Affiliation The Institute of Scientific and Industrial Research, Osaka University
4th Author's Name Satoshi KURIHARA
4th Author's Affiliation The Institute of Scientific and Industrial Research, Osaka University
5th Author's Name Masayuki NUMAO
5th Author's Affiliation The Institute of Scientific and Industrial Research, Osaka University
Date 2005/7/25
Paper # AI2005-13
Volume (vol) vol.105
Number (no) 224
Page pp.pp.-
#Pages 5
Date of Issue