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An Intelligent HealthCare Monitoring Framework for Daily Assistant Living

Computers, Materials & Continua 2022年第8期72卷 2597-2615页

作者： Yazeed Yasin Ghadi Nida Khalid Suliman A.Alsuhibany Tamara al Shloul Ahmad Jalal Jeongmin Park Department of Computer Science and Software Engineering Al Ain UniversityAl Ain15551UAE Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of humanities and Social Science Al Ain UniversityAl Ain15551UAE Department of Computer Engineering Korea Polytechnic UniversitySiheung-siGyeonggi-do237Korea

human Activity Recognition(HAR)plays an important role in life care and health monitoring since it involves examining various activities of patients at homes,hospitals,or ***,the proposed system integrates human-human interaction(HHI)and human-Object interaction(HOI)recognition to provide in-depth monitoring of the daily routine of *** propose a robust system comprising both RGB(red,green,blue)and depth *** particular,humans in HHI datasets are segmented via connected components analysis and skin detection while the human and object in HOI datasets are segmented via saliency *** track the movement of humans,we proposed orientation and thermal features.A codebook is generated using Linde-Buzo-Gray(LBG)algorithm for vector ***,the quantized vectors generated from image sequences of HOI are given to Artificial Neural Network(ANN)while the quantized vectors generated from image sequences of HHI are given to K-ary tree hashing for *** are two publicly available datasets used for experimentation on HHI recognition:Stony Brook University(SBU)Kinect interaction and the University of Lincoln’s(UoL)3D social activity ***,two publicly available datasets are used for experimentation on HOI recognition:Nanyang Technological University(NTU)RGB-D and Sun Yat-Sen University(SYSU)3D HOI *** results proved the validity of the proposed system.

关键词： Artificial neural network human-human interaction humanobject interaction k-ary tree hashing machine learning

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BRINGING FORWARD OF THE CONCEPT OF COGIS AND ITS ARCHITECTURE RESEARCH

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Chinese Geographical Science 2003年第1期13卷 84-90页

作者： HUXue-lian CHENGCheng-qi WUDe-wen MAAi-nai TheInstituteofRemoteSensingandGeographicInformationSystem PekingUniversityBeijing100871P.R.China ChinaNon-ferrousMetalsResourceGeologicalSurvey Sanhe065201P.R.China

Based on the analysis of the development of GIS technology and application,this paper brought forward the concept of CoGIS, namely Cooperative GIS. CoGIS is GIS facinggroup-users and supporting human-human interaction, which makes it differ from the former ***, the characteristics of general Computer Support Cooperative Work (CSCW) applications and thecomplexity of Geographic Information Science were analyzed, and the conclusion that CoGIS was not asimple GIS layer on CSCW was reached. Further, this paper gave the hierarchical architecture ofCoGIS, and analyzed the cooperative platform in detail from the following: 1) basic elements; 2)collaboration patterns; 3) cooperation control mechanism; 4) synchronization mechanism; 5) securityand 6) group communication and so on. With those, the problems about GIS applications are discussed,such as 1) distributed multi-source GIS information and knowledge sharing platform; 2) the fusionand visualization of GIS information; 3) virtual reality cooperative modeling; 4) dynamicsimulation; 5) expert system and 6) decision-making. Finally, this paper analyzed CoGIS applicationmode in brief.

关键词： CoGIS group human-human interaction complexity sharing

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