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An Incremental Learning Method Based on Probabilistic Neural Networks and Adjustable Fuzzy Clustering for Human Activity Recognition by Using Wearable Sensors
文献类型：期刊论文
| 作者 | Wang ZL(王哲龙); Jiang M(姜鸣); Hu, Yaohua; Li HY(李洪谊)
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| 刊名 | IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
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| 出版日期 | 2012 |
| 卷号 | 16期号:4页码:691-699 |
| 关键词 | Fuzzy clustering human activity recognition incremental learning probabilistic neural networks wearable sensor |
| ISSN号 | 1089-7771 |
| 产权排序 | 1 |
| 通讯作者 | 王哲龙 |
| 中文摘要 | Human activity recognition by using wearable sensors has gained tremendous interest in recent years among a range of health-related areas. To automatically recognize various human activities from wearable sensor data, many classification methods have been tried in prior studies, but most of them lack the incremental learning abilities. In this study, an incremental learning method is proposed for sensor-based human activity recognition. The proposed method is designed based on probabilistic neural networks and an adjustable fuzzy clustering algorithm. The proposed method may achieve the following features. 1) It can easily learn additional information from new training data to improve the recognition accuracy. 2) It can freely add new activities to be detected, as well as remove existing activities. 3) The updating process from new training data does not require previously used training data. An experiment was performed to collect realistic wearable sensor data from a range of activities of daily life. The experimental results showed that the proposed method achieved a good tradeoff between incremental learning ability and the recognition accuracy. The experimental results from comparison with other classification methods demonstrated the effectiveness of the proposed method further. |
| WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Medical Informatics |
| 研究领域[WOS] | Computer Science ; Mathematical & Computational Biology ; Medical Informatics |
| 关键词[WOS] | PHYSICAL-ACTIVITY ; CLASSIFICATION ; ACCELEROMETRY |
| 收录类别 | SCI ; EI |
| 资助信息 | This work was supported in part by the China Post-doctoral Science Foundation under Grant 20080441102, the National Science and Technology Major Project under Grant 2010ZX04007-011-5, the China Earthquake Sector Research Funds under Grant 200808075, and the National Natural Science Foundation of China under Grant 61174027. |
| 语种 | 英语 |
| WOS记录号 | WOS:000305979500019 |
| 公开日期 | 2012-10-24 |
| 源URL | [http://ir.sia.cn/handle/173321/10022]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Wang ZL,Jiang M,Hu, Yaohua,et al. An Incremental Learning Method Based on Probabilistic Neural Networks and Adjustable Fuzzy Clustering for Human Activity Recognition by Using Wearable Sensors[J]. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE,2012,16(4):691-699. |
| APA | Wang ZL,Jiang M,Hu, Yaohua,&Li HY.(2012).An Incremental Learning Method Based on Probabilistic Neural Networks and Adjustable Fuzzy Clustering for Human Activity Recognition by Using Wearable Sensors.IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE,16(4),691-699. |
| MLA | Wang ZL,et al."An Incremental Learning Method Based on Probabilistic Neural Networks and Adjustable Fuzzy Clustering for Human Activity Recognition by Using Wearable Sensors".IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE 16.4(2012):691-699. |
入库方式： OAI收割
来源：沈阳自动化研究所
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