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A Hybrid Model Using Hidden Markov Chain and Logic Model for Daily Living Activity Recognition
http://hdl.handle.net/10228/00007388
http://hdl.handle.net/10228/00007388492ced1b-03d3-48a7-a83e-97b8687299b5
名前 / ファイル | ライセンス | アクション |
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proceedings2191266.pdf (391.4 kB)
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Item type | 会議発表論文 = Conference Paper(1) | |||||||||||
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公開日 | 2019-09-12 | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||
資源タイプ | conference paper | |||||||||||
タイトル | ||||||||||||
タイトル | A Hybrid Model Using Hidden Markov Chain and Logic Model for Daily Living Activity Recognition | |||||||||||
言語 | ||||||||||||
言語 | eng | |||||||||||
著者 |
Lago, Paula
× Lago, Paula× 井上, 創造
WEKO
27425
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抄録 | ||||||||||||
内容記述タイプ | Abstract | |||||||||||
内容記述 | We detail the solution to the UCAmI Cup Challenge to recognizing on going activities at home from sensor measurements. We use binary sensors and proximity sensor measurements for the recognition. We use an hybrid strategy, combining a probabilistic model and a definition-based model. The former consists of a Hidden Markov Model using the result of a neural network as emission probabilities. It is trained with the labelled data provided by the Cup. The latter approach takes advantage of the descriptions provided for each of the activities which are expressed in logical statements based on the sensors states. We then combine the results with a weighted average. We compare the performance of each individual strategy and of the combined strategy. | |||||||||||
備考 | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | 12th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2018), 4–7 December 2018, Punta Cana, Dominican Republic | |||||||||||
書誌情報 |
Proceedings 巻 2, 号 19, p. 1266-1-1266-7, 発行日 2018-12-04 |
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出版社 | ||||||||||||
出版社 | MDPI | |||||||||||
DOI | ||||||||||||
関連タイプ | isIdenticalTo | |||||||||||
識別子タイプ | DOI | |||||||||||
関連識別子 | info:doi/10.3390/proceedings2191266 | |||||||||||
ISSN | ||||||||||||
収録物識別子タイプ | ISSN | |||||||||||
収録物識別子 | 2504-3900 | |||||||||||
著作権関連情報 | ||||||||||||
権利情報 | Copyright (c) 2018 by the authors. Licensee MDPI, Basel, Switzerland. | |||||||||||
著作権関連情報 | ||||||||||||
権利情報 | Creative Commons Attribution (CC BY) license | |||||||||||
著作権関連情報 | ||||||||||||
権利情報 | http://creativecommons.org/licenses/by/4.0/ | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | activity recognition | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | daily living activities | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | neural networks | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | hidden markov models | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | event recognition | |||||||||||
出版タイプ | ||||||||||||
出版タイプ | VoR | |||||||||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||
査読の有無 | ||||||||||||
値 | yes | |||||||||||
研究者情報 | ||||||||||||
https://hyokadb02.jimu.kyutech.ac.jp/html/140_ja.html | ||||||||||||
論文ID(連携) | ||||||||||||
10345301 | ||||||||||||
連携ID | ||||||||||||
7884 | ||||||||||||
情報源 | ||||||||||||
識別子タイプ | DOI | |||||||||||
関連識別子 | https://doi.org/10.3390/proceedings2191266 | |||||||||||
関連名称 | https://doi.org/10.3390/proceedings2191266 |