Recurrent transformation of prior knowledge based model for human motion recognition
文献类型：期刊论文
| 作者 | Xu, Cheng1,2; He, Jie1,2; Zhang, Xiaotong1,2; Cai, Haipiao1,2; Duan, Shihong1,2; Tseng, Po-Hsuan3; Li, Chong4 |
| 刊名 | Computational intelligence and neuroscience
 |
| 出版日期 | 2018 |
| 页码 | 12 |
| ISSN号 | 1687-5265 |
| DOI | 10.1155/2018/4160652 |
| 通讯作者 | He, jie(hejie@ustb.edu.cn) ; Zhang, xiaotong(zxt@ies.ustb.edu.cn) |
| 英文摘要 | Motion related human activity recognition using wearable sensors can potentially enable various useful daily applications. so far, most studies view it as a stand-alone mathematical classification problem without considering the physical nature and temporal information of human motions. consequently, they suffer from data dependencies and encounter the curse of dimension and the overfitting issue. their models are hard to be intuitively understood. given a specific motion set, if structured domain knowledge could be manually obtained, it could be used for better recognizing certain motions. in this study, we start from a deep analysis on natural physical properties and temporal recurrent transformation possibilities of human motions and then propose a useful recurrent transformation prior knowledge-based decision tree (rt-pkdt) model for recognition of specific human motions. rt-pkdt utilizes temporal information and hierarchical classification method, making the most of sensor streaming data and human knowledge to compensate the possible data inadequacy. the experiment results indicate that the proposed method performs superior to those adopted in related works, such as svm, bp neural networks, and bayesian network, obtaining an accuracy of 96.68%. |
| WOS关键词 | NEURAL-NETWORKS |
| WOS研究方向 | Mathematical & Computational Biology ; Neurosciences & Neurology |
| WOS类目 | Mathematical & Computational Biology ; Neurosciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000423600000001 |
| 出版者 | HINDAWI LTD |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374239 |
| 专题 | 计算机网络信息中心 |
| 通讯作者 | He, Jie; Zhang, Xiaotong |
| 作者单位 | 1.Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing, Peoples R China 2.Beijing Key Lab Knowledge Engn Mat Sci, Beijing, Peoples R China 3.Natl Taipei Univ Technol, Dept Elect Engn, Taipei, Taiwan 4.Chinese Acad Sci, CNIC, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Cheng,He, Jie,Zhang, Xiaotong,et al. Recurrent transformation of prior knowledge based model for human motion recognition[J]. Computational intelligence and neuroscience,2018:12. |
| APA | Xu, Cheng.,He, Jie.,Zhang, Xiaotong.,Cai, Haipiao.,Duan, Shihong.,...&Li, Chong.(2018).Recurrent transformation of prior knowledge based model for human motion recognition.Computational intelligence and neuroscience,12. |
| MLA | Xu, Cheng,et al."Recurrent transformation of prior knowledge based model for human motion recognition".Computational intelligence and neuroscience (2018):12. |
入库方式： iSwitch采集
来源：计算机网络信息中心
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