With the development of the aging society in China,the contradiction between the growing old people and the shortage of the elder care community has been increasingly sharp.How to reasonably and effectively establish ...With the development of the aging society in China,the contradiction between the growing old people and the shortage of the elder care community has been increasingly sharp.How to reasonably and effectively establish the elder care community becomes a problem that demanding prompt solution in China.This paper,starting from the most basic constituent factors of the elder care community,namely the concept,the configuration and the service,analyzes 6 types of the concept,redefines the type of the building configuration of the elder care community,and explains the types and levels of the service,which aims to guide the elder care community to deal with the relationship between the 3 factors with a view to providing a reference for the architectural design and standard preparation in the elder care community.展开更多
The quality of sleep may be a reflection of an el- derly individual＇s health state, and sleep pattern is an im- portant measurement. Recognition of sleep pattern by itself is a challenge issue, especially for elderly...The quality of sleep may be a reflection of an el- derly individual＇s health state, and sleep pattern is an im- portant measurement. Recognition of sleep pattern by itself is a challenge issue, especially for elderly-care community, due to both privacy concerns and technical limitations. We propose a novel multi-parametric sensing system called sleep pattern recognition system （SPRS）. This system, equipped with a combination of various non-invasive sensors, can mon- itor an elderly user＇s sleep behavior. It accumulates the de- tecting data from a pressure sensor matrix and ultra wide band （UWB） tags. Based on these two types of complemen- tary sensing data, SPRS can assess the user＇s sleep pattern automatically via machine learning algorithms. Compared to existing systems, SPRS operates without disrupting the users＇ sleep. It can be used in normal households with minimal deployment. Results of tests in our real assistive apartment at the Smart Elder-care Lab are also presented in this paper.展开更多
基金Sponsored by 2017 Teaching Reform Research Project of University of Science and Technology LiaoNing
文摘With the development of the aging society in China,the contradiction between the growing old people and the shortage of the elder care community has been increasingly sharp.How to reasonably and effectively establish the elder care community becomes a problem that demanding prompt solution in China.This paper,starting from the most basic constituent factors of the elder care community,namely the concept,the configuration and the service,analyzes 6 types of the concept,redefines the type of the building configuration of the elder care community,and explains the types and levels of the service,which aims to guide the elder care community to deal with the relationship between the 3 factors with a view to providing a reference for the architectural design and standard preparation in the elder care community.
文摘The quality of sleep may be a reflection of an el- derly individual＇s health state, and sleep pattern is an im- portant measurement. Recognition of sleep pattern by itself is a challenge issue, especially for elderly-care community, due to both privacy concerns and technical limitations. We propose a novel multi-parametric sensing system called sleep pattern recognition system （SPRS）. This system, equipped with a combination of various non-invasive sensors, can mon- itor an elderly user＇s sleep behavior. It accumulates the de- tecting data from a pressure sensor matrix and ultra wide band （UWB） tags. Based on these two types of complemen- tary sensing data, SPRS can assess the user＇s sleep pattern automatically via machine learning algorithms. Compared to existing systems, SPRS operates without disrupting the users＇ sleep. It can be used in normal households with minimal deployment. Results of tests in our real assistive apartment at the Smart Elder-care Lab are also presented in this paper.
