A Socially Inspired Framework for Human State Inference Using Expert Opinion Integration
文献类型:期刊论文
作者 | Modi, Shrey1; Lin, Yingzi2; Cheng, Long3![]() |
刊名 | IEEE-ASME TRANSACTIONS ON MECHATRONICS
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出版日期 | 2011-10-01 |
卷号 | 16期号:5页码:874-878 |
关键词 | Expert opinion elicitation fatigue inference human state inference integrated framework |
英文摘要 | A complete biosensing involves two processes: data acquisition or collection and information inference. In this paper, a socially inspired framework to infer the human state using multiple cues or signals and inference techniques or "experts" is presented. A general idea with the proposed framework is that conventional inference algorithms are viewed as inference experts and then the inference problem can take advantage of the knowledge in expert opinion elicitation. The sense of the socially inspired lies in that 1) there are multiple cues, 2) there are multiple experts, 3) different experts have different expertise levels on different cues in association with different human states, and 4) there are different procedures to come up with a consensus or agreed opinion (i.e., human state in this case). To demonstrate the effectiveness of the proposed framework, inference of the fatigue state is taken as an example. The result is compared with that in a previous study in the literature and overall, it has been found that the proposed framework can deliver better results in terms of the inferring accuracy. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Automation & Control Systems ; Engineering, Manufacturing ; Engineering, Electrical & Electronic ; Engineering, Mechanical |
研究领域[WOS] | Automation & Control Systems ; Engineering |
关键词[WOS] | DRIVER FATIGUE ; NETWORK |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000294550100012 |
源URL | [http://ir.ia.ac.cn/handle/173211/3423] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
作者单位 | 1.Univ Saskatchewan, Adv Engn Design Lab, Saskatoon, SK S7N 5A9, Canada 2.Northeastern Univ, Dept Mech & Ind Engn, Boston, MA 02115 USA 3.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China 4.Minzu Univ China, Sch Informat Engn, Beijing 475001, Peoples R China 5.E China Univ Sci & Technol, Complex Syst Res Lab, Shanghai 200237, Peoples R China |
推荐引用方式 GB/T 7714 | Modi, Shrey,Lin, Yingzi,Cheng, Long,et al. A Socially Inspired Framework for Human State Inference Using Expert Opinion Integration[J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS,2011,16(5):874-878. |
APA | Modi, Shrey,Lin, Yingzi,Cheng, Long,Yang, Guosheng,Liu, Lizhi,&Zhang, W. J..(2011).A Socially Inspired Framework for Human State Inference Using Expert Opinion Integration.IEEE-ASME TRANSACTIONS ON MECHATRONICS,16(5),874-878. |
MLA | Modi, Shrey,et al."A Socially Inspired Framework for Human State Inference Using Expert Opinion Integration".IEEE-ASME TRANSACTIONS ON MECHATRONICS 16.5(2011):874-878. |
入库方式: OAI收割
来源:自动化研究所
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