| Presentation | 2008-07-18 Contribution of Personalization to Activity Recognition Accuracy Using Accelerometers in Daily Life Naoyuki HASHIDA, Ren OHMURA, Michita IMAI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In activity recognition techniques with accelerometers, there has been a question that which model should be used, a user-specific model obtained from a subject or a general model obtained from unspecified many subjects. While a past research concluded that a user-specific model gives better accuracy, there is the matter of an enforced load for a subject to obtain its training data. We, thus, focused on personalization techniques and evaluated the effectiveness by some experiments with personalized general models. From these evaluations, we confirmed that the personalization techniques increase the accuracy of general model and is useful in activity recognition using accelerometers. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | daily activity recognition / accelerometer / pattern recognition / personalization |
| Paper # | USN2008-23 |
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| Committee | USN |
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| Conference Date | 2008/7/10(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| 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) | Contribution of Personalization to Activity Recognition Accuracy Using Accelerometers in Daily Life |
| Sub Title (in English) | |
| Keyword(1) | daily activity recognition |
| Keyword(2) | accelerometer |
| Keyword(3) | pattern recognition |
| Keyword(4) | personalization |
| 1st Author's Name | Naoyuki HASHIDA |
| 1st Author's Affiliation | Graduate School of Science and Technology, Keio University() |
| 2nd Author's Name | Ren OHMURA |
| 2nd Author's Affiliation | Faculty of Science and Technology, Keio University |
| 3rd Author's Name | Michita IMAI |
| 3rd Author's Affiliation | Faculty of Science and Technology, Keio University |
| Date | 2008-07-18 |
| Paper # | USN2008-23 |
| Volume (vol) | vol.108 |
| Number (no) | 138 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |