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 offices.Hence,the proposed system integrates H...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 offices.Hence,the proposed system integrates Human-Human Interaction(HHI)and Human-Object Interaction(HOI)recognition to provide in-depth monitoring of the daily routine of patients.We propose a robust system comprising both RGB(red,green,blue)and depth information.In 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 map.To track the movement of humans,we proposed orientation and thermal features.A codebook is generated using Linde-Buzo-Gray(LBG)algorithm for vector quantization.Then,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 classification.There 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 dataset.Furthermore,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 datasets.The results proved the validity of the proposed system.展开更多
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...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 GISs.Then, 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.展开更多
基金This research was supported by a grant(2021R1F1A1063634)of the Basic Science Research Program through the National Research Foundation(NRF)funded by the Ministry of Education,Republic of Korea.
文摘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 offices.Hence,the proposed system integrates Human-Human Interaction(HHI)and Human-Object Interaction(HOI)recognition to provide in-depth monitoring of the daily routine of patients.We propose a robust system comprising both RGB(red,green,blue)and depth information.In 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 map.To track the movement of humans,we proposed orientation and thermal features.A codebook is generated using Linde-Buzo-Gray(LBG)algorithm for vector quantization.Then,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 classification.There 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 dataset.Furthermore,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 datasets.The results proved the validity of the proposed system.
基金Under the auspices of National High Technology 863 Project of China(No.2001AA136060).
文摘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 GISs.Then, 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.
