Development of a privacy-aware multi-sensing data analysis system
| Project/Area Number |
26330255
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Kyushu University |
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Principal Investigator |
Takano Shigeru 九州大学, 共進化社会システム創成拠点, 准教授 (70336064)
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | マルチセンシングデータ解析 / サイバーフィジカルシステム / プライバシー制御 / ウェーブレット変換 / スマートセンサ情報システム |
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| Outline of Final Research Achievements |
In this research, we propose a design method of lifting wavelet filter adaptive to each characteristic in order to analyze enormous signal data acquired from various kinds of sensors at high speed. In the proposed method, a new compact deep neural network (DNN) architecture based on lifting complex wavelets is proposed. The proposed DNN architecture (LcwtNet) is composed of multiple layers in addition to a CNN architecture. Complex wavelet and lifting wavelet layers are introduced as the lower layers of LcwtNet, which can reduce the number of parameters while maintaining high performance similar to that of CNN models. In simulations, the effectiveness of LcwtNet is demonstrated by several test results using the MNIST dataset. By virtue of the proposed method, we can realize efficient extraction of features on the sensor device side and development of a privacy-aware multi-sensing data analysis system.
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Report
(5 results)
Research Products
(28 results)
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[Journal Article] Towards Activity Recognition of Learners in On-line Lecture2015
Author(s)
Hiromichi Abe, Takuya Kamizono, Kazuya Kinoshita, Kensuke Baba, Shigeru Takano, Kazuaki Murakami, Towards Activity Recognition of Learners in On-line Lecture, Journal of Mobile Multimedia, Vol. 11, No. 3&4. pp. 205-212, Nov. 2015.
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Journal Title
Journal of Mobile Multimedia
Volume: 11
Pages: 205-212
Related Report
Peer Reviewed
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[Presentation] Analyzing Brain Waves for Activity Recognition of Learners2015
Author(s)
Hiromichi Abe, Kazuya Kinoshita, Kensuke Baba, Shigeru Takano, Kazuaki Murakami
Organizer
Proc. of the Third IFIP TC 5/8 International Conference, ICT-EurAsia 2015, and 9th IFIP WG 8.9 Working Conference, CONFENIS 2015, Information and Communication Technology
Place of Presentation
大田（韓国）
Year and Date
2015-10-04
Related Report
Int'l Joint Research
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