scholarly journals The development of prototype context-aware smart home to facilitate the learning of smart green building: Literature review

2019 ◽  
Author(s):  
Rezza Fariszal Hisyam Chaizara ◽  
Cucuk Budiyanto ◽  
Puspanda Hatta
Keyword(s):  
Literature Review ◽  
Smart Home ◽  
Green Building ◽  
Context Aware

scholarly journals Unobtrusive Health Monitoring in Private Spaces: The Smart Home

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 864 ◽  
Author(s):  
Ju Wang ◽  
Nicolai Spicher ◽  
Joana M. Warnecke ◽  
Mostafa Haghi ◽  
Jonas Schwartze ◽  
...  
Keyword(s):  
Literature Review ◽  
Health Monitoring ◽  
Smart Home ◽  
State Of The Art ◽  
Home Health ◽  
Environmental Data ◽  
Behavioral Data ◽  
Sensor Technology ◽  
Current Sensor ◽  
Home Health Monitoring

With the advances in sensor technology, big data, and artificial intelligence, unobtrusive in-home health monitoring has been a research focus for decades. Following up our research on smart vehicles, within the framework of unobtrusive health monitoring in private spaces, this work attempts to provide a guide to current sensor technology for unobtrusive in-home monitoring by a literature review of the state of the art and to answer, in particular, the questions: (1) What types of sensors can be used for unobtrusive in-home health data acquisition? (2) Where should the sensors be placed? (3) What data can be monitored in a smart home? (4) How can the obtained data support the monitoring functions? We conducted a retrospective literature review and summarized the state-of-the-art research on leveraging sensor technology for unobtrusive in-home health monitoring. For structured analysis, we developed a four-category terminology (location, unobtrusive sensor, data, and monitoring functions). We acquired 912 unique articles from four relevant databases (ACM Digital Lib, IEEE Xplore, PubMed, and Scopus) and screened them for relevance, resulting in n=55 papers analyzed in a structured manner using the terminology. The results delivered 25 types of sensors (motion sensor, contact sensor, pressure sensor, electrical current sensor, etc.) that can be deployed within rooms, static facilities, or electric appliances in an ambient way. While behavioral data (e.g., presence (n=38), time spent on activities (n=18)) can be acquired effortlessly, physiological parameters (e.g., heart rate, respiratory rate) are measurable on a limited scale (n=5). Behavioral data contribute to functional monitoring. Emergency monitoring can be built up on behavioral and environmental data. Acquired physiological parameters allow reasonable monitoring of physiological functions to a limited extent. Environmental data and behavioral data also detect safety and security abnormalities. Social interaction monitoring relies mainly on direct monitoring of tools of communication (smartphone; computer). In summary, convincing proof of a clear effect of these monitoring functions on clinical outcome with a large sample size and long-term monitoring is still lacking.

scholarly journals A non-intrusive context-aware system for ambient assisted living in smart home

2013 ◽  
Vol 3 (2) ◽  
pp. 129-138 ◽  
Author(s):  
Willy Allègre ◽  
Thomas Burger ◽  
Jean-Yves Antoine ◽  
Pascal Berruet ◽  
Jean-Paul Departe
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Ambient Assisted Living ◽  
Context Aware ◽  
Context Aware System

A Differentially Private Context-Aware Edge-Cloud-Enabled Nursing System in Smart Home

2021 ◽  
Author(s):  
Gang-Ting Liu ◽  
Qi-Wen Li ◽  
Dan-Hong Wang ◽  
Ruo-Bing Ren ◽  
Hai-Tao Chou ◽  
...  
Keyword(s):  
Smart Home ◽  
Context Aware ◽  
Private Context

Literature Review on the Incentive Policies to Promote the Development of Green Building

2013 ◽  
Vol 357-360 ◽  
pp. 2785-2792
Author(s):  
Ge Liu ◽  
Xue Li
Keyword(s):  
Literature Review ◽  
Incentive Mechanism ◽  
Supply And Demand ◽  
Green Building ◽  
Government Function ◽  
Incentive Policy ◽  
Foreign Policies ◽  
Incentive Policies ◽  
External Economy

This paper examined green building incentive policies in both China and the overseas from research and implementation. Based on analyzing overseas green building incentive policies, we can conclude that incentive policy for green building is advanced. Domestic researchers have conducted research from the perspectives of government function, external economy, comparison with foreign policies, supply and demand. This paper reviewed the implementation of green building incentive policies in China. We conclude that the policies and regulations in promoting green building development in China need to be developed. Finally, according to the development of green building in China, further research is needed on developing a system of incentive mechanism and evaluating the effect of incentive.

A Context-Aware Information Model for Elderly Homecare Services in a Smart Home

2009 ◽  
Author(s):  
Feng Zhou ◽  
Jianxin Roger Jiao ◽  
Songlin Chen ◽  
Daqing Zhang
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Rough Set Theory ◽  
Research Problem ◽  
Information Model ◽  
Context Aware ◽  
Sensor Platform ◽  
Smart Home Environment ◽  
Manual Assistance

One of the critical situations facing the society across the globe is the problem of elderly homecare services (EHS) due to the aggravation of the society coupled with diseases and limited social resources. This problem has been typically dealt with by manual assistance from caregivers and/or family members. The emerging Ambience Intelligence (AmI) technology suggests itself to be of great potential for EHS applications, owing to its strength in constructing a pervasive computing environment that is sensitive and responsive to the presence of human users. The key challenge of AmI implementation lies in context awareness, namely how to align with the specific decision making scenarios of particular EHS applications. This paper proposes a context-aware information model in a smart home to tackle the EHS problem. Mainly, rough set theory is applied to construct user activity models for recognizing various activities of daily living (ADLs) based on the sensor platform constructed in a smart home environment. Subsequently, issues of case comprehension and homecare services are also discussed. A case study in the smart home environment is presented. Initial findings from the case study suggest the importance of the research problem, as well as the feasibility and potential of the proposed framework.

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