A Socially Inspired Framework for Human State Inference Using Expert Opinion Integration

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	A Socially Inspired Framework for Human State Inference Using Expert Opinion Integration
	Modi, Shrey 1; Lin, Yingzi 2; Cheng, Long3 ; Yang, Guosheng 4; Liu, Lizhi 1; Zhang, W. J.1,5
刊名	IEEE-ASME TRANSACTIONS ON MECHATRONICS
	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
内容类型	期刊论文
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.