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Paper Abstract and Keywords
Presentation 2006-05-26 11:10
Evaluation of data collection parameters on the daily activity classification with accelerometers
Katsuhiro Tabuchi (ATR(Osaka Univ.)), Futoshi Naya, Ren Ohmura, Haruo Noma, Kiyoshi Kogure (ATR), Fumio Kishino (Osaka Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In order to improve the daily activity classification with accelerometers, we have evaluated how the daily activity classification performance depends on 1) the number of sensors and their positions and 2) the sampling frequency. We have obtained the result that the classification performance of 10 kinds of daily activity is 89.8% when the accelerometers are installed in four places (the both hands neck and both ankles) and SVM (Support Vector Machine) is used as a classifier. We have also obtained the result that the classification performance is 88.9% for the same accelerometer data except that they have been re-sampled from 50 Hz to 12.5 Hz. These results can be reflected to the wearable sensor design with less user load and longer working time.
Keyword (in Japanese) (See Japanese page) 
(in English) Daily activity classification / Accelerometer / Evaluation of classification performance / Sensor position / Sampling rate / / /  
Reference Info. IEICE Tech. Rep., vol. 106, no. 73, PRMU2006-27, pp. 43-48, May 2006.
Paper # PRMU2006-27 
Date of Issue 2006-05-19 (PRMU, MI) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee PRMU MI  
Conference Date 2006-05-25 - 2006-05-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Aichi Prefectural University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2006-05-PRMU-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of data collection parameters on the daily activity classification with accelerometers 
Sub Title (in English)  
Keyword(1) Daily activity classification  
Keyword(2) Accelerometer  
Keyword(3) Evaluation of classification performance  
Keyword(4) Sensor position  
Keyword(5) Sampling rate  
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1st Author's Name Katsuhiro Tabuchi  
1st Author's Affiliation Advanced Telecommunications Research Institute International(Osaka University) (ATR(Osaka Univ.))
2nd Author's Name Futoshi Naya  
2nd Author's Affiliation Advanced Telecommunications Research Institute International (ATR)
3rd Author's Name Ren Ohmura  
3rd Author's Affiliation Advanced Telecommunications Research Institute International (ATR)
4th Author's Name Haruo Noma  
4th Author's Affiliation Advanced Telecommunications Research Institute International (ATR)
5th Author's Name Kiyoshi Kogure  
5th Author's Affiliation Advanced Telecommunications Research Institute International (ATR)
6th Author's Name Fumio Kishino  
6th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2006-05-26 11:10:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2006-27, MI2006-27 
Volume (vol) vol.106 
Number (no) no.73(PRMU), no.75(MI) 
Page pp.43-48 
#Pages
Date of Issue 2006-05-19 (PRMU, MI) 


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