Smart Home Research

Author(s):  
Michael P. Poland ◽  
Chris D. Nugent ◽  
Hui Wang ◽  
Liming Chen

Smart Homes are environments facilitated with technology that act in a protective and proactive function to assist an inhabitant in managing their daily lives specific to their individual needs. A typical Smart Home implementation would include sensors and actuators to detect changes in status and to initiate beneficial interventions. This paper aims to introduce the diversity of recent Smart Home research and to present the challenges that are faced not only by engineers and potential inhabitants, but also by policy makers and healthcare professionals

2009 ◽  
Vol 1 (4) ◽  
pp. 32-45 ◽  
Author(s):  
Michael P. Poland ◽  
Chris D. Nugent ◽  
Hui Wang ◽  
Liming Chen

Smart Homes are environments facilitated with technology that act in a protective and proactive function to assist an inhabitant in managing their daily lives specific to their individual needs. A typical Smart Home implementation would include sensors and actuators to detect changes in status and to initiate beneficial interventions. This paper aims to introduce the diversity of recent Smart Home research and to present the challenges that are faced not only by engineers and potential inhabitants; but also by policy makers and healthcare professionals


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Anna Prenestini ◽  
Marco Sartirana ◽  
Federico Lega

Abstract Background Hybrid professionalism is one of the most effective ways to involve clinicians in management practices and responsibilities. With this study we investigated the perceptions of doctors and nurses on hybridization in clinical directorates (CDs) in hospitals. Methods We investigated the attitudes of healthcare professionals (doctors and nurses) towards eight hospital CDs in the Local Health Authority (LHA) of Bologna (Emilia Romagna, Italy) 6 years after their implementation. We used a validated questionnaire by Braithwaite and Westbrook (2004). Drawing on Palmer et al. (2007), we added a section about the characteristics of department heads. In all, 123 healthcare professionals in managerial roles completed and returned the questionnaire. The return rate was 47.4% for doctors and 31.6% for nurses. Results Doctors reported an increase in clinical governance, interdisciplinarity collaboration, and standardization of clinical work. Hybridization of practices was noted to have taken place. While doctors did not see these changes as a threat to professional values, they felt that hospital managers had taken greater control. There was a large overlap of attitudes between doctors and nurses: inter-professional integration in CDs fostered alignment of values and aims. The polarity index was higher for responses from the doctors than from the nurses. Conclusion The study findings have implications for policy makers and managers: mission and strategic mandate of CDs; governance of CDs, leadership issues; opportunities for engaging healthcare professionals; changes in managerial involvement during the COVID-19 pandemic. We also discuss the limitations of the present study and future areas for research into hybrid structures.


2012 ◽  
Vol 248 ◽  
pp. 486-490
Author(s):  
Peter Hamernik ◽  
Pavol Tanuska ◽  
Dusan Mudroncik

Nowadays are smart homes aimed at healthy users. Much less emphasis is placed on the handicapped users. The article is focused on classification of function in a smart home for users with Alzheimer’s disease associated with dementia.


2016 ◽  
Vol 11 (1) ◽  
pp. 46-49
Author(s):  
Lucylynn Lizarondo ◽  
Kate Kennedy ◽  
Debra Kay

Objective: The purpose of this project was to develop a Consumer Engagement Model to plan for effective baby boomer engagement to inform policy makers in the healthcare system. This is the first stage of that process. Design: Initial model development for healthcare systems based on literature review and author group experience in evidence-based practice and research, and consumer advocacy and engagement. Setting and population: South Australian health and community service systems, and healthcare professionals that work with baby boomers. Findings: To develop an evidence-based Consumer Engagement Plan, it is recommended that policy makers undertake the four steps outlined in this document to design a question, determine consumer and community segments and scope of engagement, determine the breadth and depth of engagement and address the implications, assess risk and develop strategic partnerships to ensure the Plan is evidencebased,reasonable and achievable. Conclusions: We believe this process provides a framework for planning consumer engagement and for implementation, monitoring, evaluation and review of consumer engagement for policy excellence. We propose to undertake a validation of the model thus populating the model with examples of practice-based strategies and revising the model accordingly. Abbreviations: EBP – Evidence-Based Practice; IAP2 – International Association of Public Participation; PIO – Patient Intervention and Outcome.


2019 ◽  
Vol 8 (3) ◽  
pp. 777-788
Author(s):  
Salami Ifedapo Abdullahi ◽  
Mohamed Hadi Habaebi ◽  
Noreha Abd Malik

Flow sensors are very essential in many aspects of our daily lives. Many of the industrial processes need a very consistent flow sensor to monitor and check for irregularities in their system. Therefore, flow sensor is an important tool for advanced operation in industrial environment. In this paper, the design and development of a 3D fabricated flow sensor was carried out using SolidWork 3D CAD. SolidWork Flow Simulation was used to model the effect the turbine flow sensor would have on a constant flowing water while MATLAB Simulink flow graph was created to visualize the effect of turbine flow sensor response with voltage input. Afterwards, the design was 3D printed using UP Plus 2 3D printer. The experimentation involved selection of sensors, coding to control the turbine flow sensor and automatic data logging and storage. During the design phase, the sensors and actuators were assembled using locally sourced material. Subsequently, under controlled laboratory environment, the turbine flow sensor was tested using a DC motor which was programmed to control the revolution per minute(rpm) of the turbine flow sensor. The rpm and velocity of the turbine flow meter was measured and stored in a database via Microsoft Excel using Cool Term Software. A total number of 517 readings were analysed to evaluate the performance of the turbine flow sensor. The result shows that the turbine flow meter is responsive to the motor input voltage and yielded accurate measurement of rpm and velocity of turbine flow meter.


Symmetry ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 374 ◽  
Author(s):  
Chi-Hua Chen ◽  
Eyhab Al-Masri ◽  
Feng-Jang Hwang ◽  
Despo Ktoridou ◽  
Kuen-Rong Lo

This editorial introduces the special issue, entitled “Applications of Internet of Things”, of Symmetry. The topics covered in this issue fall under four main parts: (I) communication techniques and applications, (II) data science techniques and applications, (III) smart transportation, and (IV) smart homes. Four papers on sensing techniques and applications are included as follows: (1) “Reliability of improved cooperative communication over wireless sensor networks”, by Chen et al.; (2) “User classification in crowdsourcing-based cooperative spectrum sensing”, by Zhai and Wang; (3) “IoT’s tiny steps towards 5G: Telco’s perspective”, by Cero et al.; and (4) “An Internet of things area coverage analyzer (ITHACA) for complex topographical scenarios”, by Parada et al. One paper on data science techniques and applications is as follows: “Internet of things: a scientometric review”, by Ruiz-Rosero et al. Two papers on smart transportation are as follows: (1) “An Internet of things approach for extracting featured data using an AIS database: an application based on the viewpoint of connected ships”, by He et al.; and (2) “The development of key technologies in applications of vessels connected to the Internet”, by Tian et al. Two papers on smart home are as follows: (1) “A novel approach based on time cluster for activity recognition of daily living in smart homes”, by Liu et al.; and (2) “IoT-based image recognition system for smart home-delivered meal services”, by Tseng et al.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ghasson Shabha ◽  
Francesca Barber ◽  
Paul Laycock

PurposeThere are 29 million homes in the UK, accounting for 14% of the UK's energy consumption. This is given that UK has one of the highest water and energy demands in Europe which needs to be addressed according to the Committee on Climate Change (CCC). Smart homes technology holds a current perception that it is principally used by “tech-savvy” users with larger budgets. However, smart home technology can be used to control water, heat and energy in the entire house. This paper investigates how smart home technology could be effectively utilised to aid the UK government in meeting climate change targets and to mitigate the environmental impact of a home in use towards reducing carbon emissions.Design/methodology/approachBoth primary and secondary data were sought to gain insight into the research problem. An epistemological approach to this research is to use interpretivism to analyse data gathered via a semi-structured survey. Two groups of participants were approached: (1) professionals who are deemed knowledgeable about smart home development and implementation and (2) users of smart home technology. A variety of open-ended questions were formulated, allowing participants to elaborate by exploring issues and providing detailed qualitative responses based on their experience in this area which were interpreted quantitatively for clearer analysis.FindingsWith fossil fuel reserves depleting, there is an urgency for renewable, low carbon energy sources to reduce the 5 tonnes annual carbon emissions from a UK household. This requires a multi-faceted and a multimethod approach, relying on the involvement of both the general public and the government in order to be effective. By advancing energy grids to make them more efficient and reliable, concomitant necessitates a drastic change in the way of life and philosophy of homeowners when contemplating a reduction of carbon emissions. If both parties are able to do so, the UK is more likely to reach its 2050 net-zero carbon goal. The presence of a smart meter within the household is equally pivotal. It has a positive effect of reducing the amount of carbon emissions and hence more need to be installed.Research limitations/implicationsFurther research is needed using a larger study sample to achieve more accurate and acceptable generalisations about any future course of action. Further investigation on the specifics of smart technology within the UK household is also needed to reduce the energy consumption in order to meet net-zero carbon 2050 targets due to failures of legislation.Practical implicationsFor smart homes manufacturers and suppliers, more emphasis should be placed to enhance compatibility and interoperability of appliances and devices using different platform and creating more user's friendly manuals supported by step-by-step visual to support homeowners in the light of the wealth of knowledge base generated over the past few years. For homeowners, more emphasis should be placed on creating online knowledge management platform easily accessible which provide virtual support and technical advice to home owners to deal with any operational and technical issues or IT glitches. Developing technical design online platform for built environment professionals on incorporating smart sensors and environmentally beneficial technology during early design and construction stages towards achieving low to zero carbon homes.Originality/valueThis paper bridges a significant gap in the body of knowledge in term of its scope, theoretical validity and practical applicability, highlighting the impact of using smart home technology on the environment. It provides an insight into how the UK government could utilise smart home technology in order to reduce its carbon emission by identifying the potential link between using smart home technology and environmental sustainability in tackling and mitigating climate change. The findings can be applied to other building types and has the potential to employ aspects of smart home technology in order to manage energy and water usage including but not limited to healthcare, commercial and industrial buildings.


Author(s):  
Dennis Geesen ◽  
H. Jürgen Appelrath ◽  
Marco Grawunder ◽  
Daniela Nicklas

Smart homes are equipped with multiple sensors and actuators to observe the residents and environmental phenomena, to interpret the situation out of that, and finally, to react accordingly. While the data processing for a single smart home is facile, the data processing for multiple smart homes in one smart building is more complex because there are different people (e.g., like several residents, administrators, or a property management) with different interests concerning the processed data. On that point, this chapter shows which kind of typical roles can be found in a smart building and what requirements and challenges they demand for managing and processing the data. Secondly, Data Stream Management Systems (DSMS) are introduced as an approach for processing and managing data in a smart building by presenting an appropriate architecture. Finally, the chapter discusses further concepts from DSMS and illustrates how they additionally meet and solve the requirements and the challenges.


Author(s):  
José Bringel Filho ◽  
Nazim Agoulmine

Ubiquitous Health (U-Health) smart homes are intelligent spaces capable of observing and correctly recognizing the activities and health statuses of their inhabitants (context) to provide the appropriate support to achieve an overall sense of health and well-being in their inhabitants’ daily lives. With the intrinsic heterogeneity and large number of sources of context information, aggregating and reasoning on low-quality raw sensed data may result in conflicting and erroneous evaluations of situations, affecting directly the reliability of the U-Health systems. In this environment, the evaluation and verification of Quality of Context (QoC) information plays a central role in improving the consistency and correctness of context-aware U-Health applications. Therefore, the objective of this chapter is to highlight the impact of QoC on the correct behavior of U-Health systems, and introduce and analyze the existing approaches of modeling, evaluating, and using QoC to improve its context-aware decision-making support.


Biometrics ◽  
2017 ◽  
pp. 1290-1309
Author(s):  
Ryan Patrick ◽  
Nikolaos Bourbakis

A surveillance system for assisting the elderly in remaining independent in their familiar environment is one of the subjects interest in recent healthcare studies. When mature, it is expected that this system will have the ability to track objects that a resident may lose periodically, detect falls within the home, alert family members or healthcare professionals to abnormal behaviors. This paper addresses the early stages and issues of the development of such a system, the physical characteristics of the system that is being designed, early results, and guidance on the future work that will have to be completed in the future.


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