| Rank Preserving Discriminant Analysis for Human Behavior Recognition on Wireless Sensor Networks | |
Tao, Dapeng1; Jin, Lianwen1; Wang, Yongfei1; Li, Xuelong2
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| 作者部门 | 光学影像学习与分析中心 |
| 2014-02-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
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| ISSN | 1551-3203 |
| 卷号 | 10期号:1页码:813-823 |
| 摘要 | With the rapid development of the intelligent sensing and the prompt growing industrial safety demands, human behavior recognition has received a great deal of attentions in industrial informatics. To deploy an utmost scalable, flexible, and robust human behavior recognition system, we need both innovative sensing electronics and suitable intelligence algorithms. Wireless sensor networks (WSNs) open a novel way for human behavior recognition, because the heavy computation can be immediately transferred to a network server. In this paper, a new scheme for human behavior recognition on WSNs is proposed, which transmits activities' signals compressed by Hamming compressed sensing to the network server and conducts behavior recognition through a collaboration between a new dimension reduction algorithm termed rank preserving discriminant analysis (RPDA) and a nearest neighbor classifier. RPDA encodes local rank information of within-class samples and discriminative information of the between-class under the framework of Patch Alignment Framework. Experiments are conducted on the SCUT Naturalistic 3D Acceleration-based Activity (SCUT NAA) dataset and demonstrate the effectiveness of RPDA for human behavior recognition. |
| 文章类型 | Article |
| 关键词 | Discriminant Analysis Human Behavior Recognition Rank Preserving Wireless Sensor Networks (Wsns) |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TII.2013.2255061 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | HIGH-DIMENSIONAL DATA ; FACE RECOGNITION ; SPECIAL SECTION ; NEURAL-NETWORK ; MOTION ; PCA ; REPRESENTATION ; INFORMATION ; EXPLORATION ; PROJECTIONS |
| 语种 | 英语 |
| WOS研究方向 | Automation & Control Systems ; Computer Science ; Engineering |
| WOS类目 | Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial |
| WOS记录号 | WOS:000336668600081 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/22380 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China 2.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tao, Dapeng,Jin, Lianwen,Wang, Yongfei,et al. Rank Preserving Discriminant Analysis for Human Behavior Recognition on Wireless Sensor Networks[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2014,10(1):813-823. |
| APA | Tao, Dapeng,Jin, Lianwen,Wang, Yongfei,&Li, Xuelong.(2014).Rank Preserving Discriminant Analysis for Human Behavior Recognition on Wireless Sensor Networks.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,10(1),813-823. |
| MLA | Tao, Dapeng,et al."Rank Preserving Discriminant Analysis for Human Behavior Recognition on Wireless Sensor Networks".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 10.1(2014):813-823. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Rank Preserving Disc（1548KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 | |
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