Presentation | 2014-03-06 An Estimation Method and Its Evaluation of Human Action using Multiple Sensors in Portable Devices and Knowledge Processing Ayaka SUZUKI, Toru ABE, Takuo SUGANUMA, |
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Abstract(in English) | Existing estimation techniques of human action have some problems such as high installation costs of sensors and restriction of user's daily life. To solve these problems, we propose an estimation method of human action by using a portable device such as a smartphone. Our proposed method estimates basic action based on various kinds of sensor data collected by multiple sensors in the portable device. The proposed method utilizes knowledge base including action time and location to enhance estimation accuracy by combining the knowledge processing and sensor data. In this paper, we explain the detailed design of our estimation method and its implementation. We also carry out its experimentation to confirm effectiveness of our proposed estimation method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Portable device / Sensors / Estimation of human action / Machine learning / Knowledge processing |
Paper # | IN2013-158 |
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Committee | IN |
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Conference Date | 2014/2/27(1days) |
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Paper Information | |
Registration To | Information Networks (IN) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Estimation Method and Its Evaluation of Human Action using Multiple Sensors in Portable Devices and Knowledge Processing |
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Keyword(1) | Portable device |
Keyword(2) | Sensors |
Keyword(3) | Estimation of human action |
Keyword(4) | Machine learning |
Keyword(5) | Knowledge processing |
1st Author's Name | Ayaka SUZUKI |
1st Author's Affiliation | Graduate School of Information Sciences, Tohoku University() |
2nd Author's Name | Toru ABE |
2nd Author's Affiliation | Graduate School of Information Sciences, Tohoku University:Cyberscience Center, Tohoku University |
3rd Author's Name | Takuo SUGANUMA |
3rd Author's Affiliation | Graduate School of Information Sciences, Tohoku University:Cyberscience Center, Tohoku University |
Date | 2014-03-06 |
Paper # | IN2013-158 |
Volume (vol) | vol.113 |
Number (no) | 473 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |