| Presentation | 2006-05-26 Evaluation of data collection parameters on the daily activity classification with accelerometers Katsuhiro TABUCHI, Futoshi NAYA, Ren OHMURA, Haruo NOMA, Kiyoshi KOGURE, Fumio KISHINO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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 50Hz to 12.5Hz. These results can be reflected to the wearable sensor design with less user load and longer working time. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Daily activity classification / Accelerometer / Evaluation of classification performance / Sensor position / Sampling rate |
| Paper # | PRMU2006-27,MI2006-27 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2006/5/19(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| 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 |
| 1st Author's Name | Katsuhiro TABUCHI |
| 1st Author's Affiliation | ATR Media Information Science Laboratories:Graduate School of Information Science and Technology, Osaka University() |
| 2nd Author's Name | Futoshi NAYA |
| 2nd Author's Affiliation | ATR Media Information Science Laboratories |
| 3rd Author's Name | Ren OHMURA |
| 3rd Author's Affiliation | ATR Media Information Science Laboratories |
| 4th Author's Name | Haruo NOMA |
| 4th Author's Affiliation | ATR Media Information Science Laboratories |
| 5th Author's Name | Kiyoshi KOGURE |
| 5th Author's Affiliation | ATR Media Information Science Laboratories |
| 6th Author's Name | Fumio KISHINO |
| 6th Author's Affiliation | Graduate School of Information Science and Technology, Osaka University |
| Date | 2006-05-26 |
| Paper # | PRMU2006-27,MI2006-27 |
| Volume (vol) | vol.106 |
| Number (no) | 73 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |