Presentation | 2012/5/10 Improving Fault Tolerance of Wearable Sensor-based Activity Recognition Technique by Completing Defective Feature Value RYOMA UCHIDA, REN OMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Activity recognition techniques with wearable sensors are one of the most important technologies to achieve context-aware systems. However, existing recognition techniques are lack of fault tolerance in case of sensors data loss, such as communication disconnection and sensor failure. Our study proposes two methods to improve the fault tolerance by completing missing feature values with avairable some sensor. Our methods use multiple regression and the kernel method. We had some experiments to verify the usefulness of proposed methods. As a result, our method is confirmed to be able to improve fault tolerance of activity recognition technique. F-Measure rate is 69.8% in case of sensors data loss. Our method's F-Measure rate of multiple regression and kernel method are 70.7% and 71.1% that improved more than 1.0% than case of sensor data loss. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Activity recognition / improving fault tolerance / completing defective value |
Paper # | Vol.2012-UBI-34 No.31 |
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Conference Information | |
Committee | USN |
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Conference Date | 2012/5/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Ubiquitous and Sensor Networks(USN) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Improving Fault Tolerance of Wearable Sensor-based Activity Recognition Technique by Completing Defective Feature Value |
Sub Title (in English) | |
Keyword(1) | Activity recognition |
Keyword(2) | improving fault tolerance |
Keyword(3) | completing defective value |
1st Author's Name | RYOMA UCHIDA |
1st Author's Affiliation | Toyohashi University of Technology() |
2nd Author's Name | REN OMURA |
2nd Author's Affiliation | Toyohashi University of Technology |
Date | 2012/5/10 |
Paper # | Vol.2012-UBI-34 No.31 |
Volume (vol) | vol.112 |
Number (no) | 31 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |