An Intelligent HealthCare Monitoring Framework for Daily Assistant Living

作     者：Yazeed Yasin Ghadi Nida Khalid Suliman A.Alsuhibany Tamara al Shloul Ahmad Jalal Jeongmin Park 

作者机构：Department of Computer Science and Software EngineeringAl Ain UniversityAl Ain15551UAE Department of Computer ScienceAir UniversityIslamabad44000Pakistan Department of Computer ScienceCollege of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Humanities and Social ScienceAl Ain UniversityAl Ain15551UAE Department of Computer EngineeringKorea Polytechnic UniversitySiheung-siGyeonggi-do237Korea 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第72卷第8期

页      面：2597-2615页

核心收录：

学科分类：08[工学] 0903[农学-农业资源与环境] 0901[农学-作物学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

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 

主　　题：Artificial neural network human-human interaction humanobject interaction k-ary tree hashing machine learning 

摘      要：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.