Presentation | 2012/3/5 A Recognition Method using Accelerometers for Combined Activities KAZUYA MURAO, TSUTOMU TERADA, |
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Abstract(in English) | Many activity recognition systems using accelerometers have been proposed. Activities that have been recognized are "single" activities which can be expressed with one verb, such as sitting, walking, holding a mobile phone, and throwing a ball. In actual, however, "combined" activities including more than two kinds of state and movement are often taken place. Focusing on hand ges tures, they are performed not only while standing, but also while walking and sitting. Though the simplest way to recognize such combined activities is to construct the recognition models for all the possible combinations of the activities, the number of combinations becomes immense. In this paper, we propose a recognition method for combined activities by learning single activities only. Evaluation results confirmed that our proposed method achieved 0.85 of accuracy, which is comparable to the method that had learned all the combined activities. |
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Paper # | Vol.2012-MBL-61 No.20,Vol.2012-UBI-33 No.20 |
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Committee | MoMuC |
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Conference Date | 2012/3/5(1days) |
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Registration To | Mobile Multimedia Communications(MoMuC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Recognition Method using Accelerometers for Combined Activities |
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1st Author's Name | KAZUYA MURAO |
1st Author's Affiliation | Graduate School of Engineering, Kobe University() |
2nd Author's Name | TSUTOMU TERADA |
2nd Author's Affiliation | Graduate School of Engineering, Kobe University:PRESTO, Japan Science and Technology Agency |
Date | 2012/3/5 |
Paper # | Vol.2012-MBL-61 No.20,Vol.2012-UBI-33 No.20 |
Volume (vol) | vol.111 |
Number (no) | 476 |
Page | pp.pp.- |
#Pages | 8 |
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