scholarly journals Development of a Role Model for the Use of Smart Home Based Data in Medical Care

2021 ◽  
Author(s):  
Isabel Richter ◽  
Corinna Mielke ◽  
Reinhold Haux
Keyword(s):  
Literature Review ◽  
Health System ◽  
Medical Care ◽  
Patient Care ◽  
Smart Home ◽  
Role Model ◽  
Smart Homes ◽  
Care Process ◽  
Home Based ◽  
Home Systems

Smart home systems create new opportunities for patient care. In this paper, a role model is created for the different groups of people involved in the care process of an occupant. Based on a systematic literature review seven roles were identified. A second literature review deals with the topic Feedback of Smart Home Systems. Combining both reviews visualization proposals were created and are presented for two of the roles. The role model is adapted to German health system but could be transformed for different countries. To confirm the results an evaluation of role model and visualization proposal should be done in collaboration with possible users of smart homes.

scholarly journals Recognition of Daily Activities of Two Residents in a Smart Home Based on Time Clustering

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1457 ◽  
Author(s):  
Jinghuan Guo ◽  
Yiming Li ◽  
Mengnan Hou ◽  
Shuo Han ◽  
Jianxun Ren
Keyword(s):  
Activity Recognition ◽  
Adaptive Systems ◽  
Smart Home ◽  
Population Aging ◽  
Smart Homes ◽  
Daily Activities ◽  
Matching Method ◽  
Home Based ◽  
Great Progress ◽  
F Measure

With the development of population aging, the recognition of elderly activity in smart homes has received increasing attention. In recent years, single-resident activity recognition based on smart homes has made great progress. However, few researchers have focused on multi-resident activity recognition. In this paper, we propose a method to recognize two-resident activities based on time clustering. First, to use a de-noising method to extract the feature of the dataset. Second, to cluster the dataset based on the begin time and end time. Finally, to complete activity recognition using a similarity matching method. To test the performance of the method, we used two two-resident datasets provided by Center for Advanced Studies in Adaptive Systems (CASAS). We evaluated our method by comparing it with some common classifiers. The results show that our method has certain improvements in the accuracy, recall, precision, and F-Measure. At the end of the paper, we explain the parameter selection and summarize our method.

scholarly journals An Accessible Smart Home Based on Integrated Multimodal Interaction

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5464
Author(s):  
Ana Patrícia Rocha ◽  
Maksym Ketsmur ◽  
Nuno Almeida ◽  
António Teixeira
Keyword(s):  
Smart Home ◽  
Multimodal Interaction ◽  
Environmentally Friendly ◽  
Smart Homes ◽  
Information And Communications Technology ◽  
Communications Technology ◽  
Home Based ◽  
Project Smart ◽  
Multiple Devices ◽  
Adaptive Interaction

Our homes are becoming increasingly sensorized and smarter. However, they are also becoming increasingly complex, making accessing them and their advantages difficult. Assistants have the potential for improving the accessibility of smart homes, by providing everyone with an integrated, natural, and multimodal way of interacting with the home’s ecosystem. To demonstrate this potential and contribute to more environmentally friendly homes, in the scope of the project Smart Green Homes, a home assistant highly integrated with an ICT (Information and communications technology) home infrastructure was developed, deployed in a demonstrator, and evaluated by seventy users. The users’ global impression of our home assistant is in general positive, with 61% of the participants rating it as good or excellent overall and 51% being likely or very likely to recommend it to others. Moreover, most think that the assistant enhances interaction with the smart home’s multiple devices and is easy to use by everyone. These results show that a home assistant providing an integrated view of a smart home, through natural, multimodal, and adaptive interaction, is a suitable solution for enhancing the accessibility of smart homes and thus contributing to a better living ambient for all of their inhabitants.

Smart Home Systems - Accessibility and Trust

2010 ◽  
Vol 35 (3) ◽  
pp. 6-14
Author(s):  
Greger Sandström ◽  
Ulf Keijer
Keyword(s):  
Smart Home ◽  
Extended Period ◽  
Smart Homes ◽  
Basic Requirement ◽  
Residential Units ◽  
Actual Use ◽  
Questionnaire Surveys ◽  
Residents Attitudes ◽  
Home Systems

This article explores the residents' attitudes to and acceptance of Smart Homes. The results are based on surveys of two residential units fit with advanced smart home systems. The systems offered functionalities of different kinds as alarms, energy measurement, booking of common facilities, broadband connections and electronic keys. The buildings were first occupied in mid 2001 and early 2002, respectively. The original smart home systems were in operation until end of 2005, when they ultimately were replaced by simpler ones, based on the web, a change not foreseen from the beginning. The extended period of time offered the possibility to study the residents' long term attitudes, expectations and demands on smart homes with their installed and perceived functionality. The questionnaire surveys focused on the residents experiences and included questions of their actual use of the smart home systems and opinions regarding accessibility and easy of use. Albeit functionality related to current demand is a basic requirement, two other concepts, viz. accessibility and trust, have appeared to be fundamental for a positive attitude and acceptance of various functions that constitute a smart home. Related issues are developed and further discussed in the article.

scholarly journals Analysis of the application possibilities of IoT technology in smart home systems

2019 ◽  
Vol 12 ◽  
pp. 258-266
Author(s):  
Arkadiusz Bęben ◽  
Piotr Kopniak
Keyword(s):  
Smart Home ◽  
Smart Homes ◽  
The Internet ◽  
Home Appliances ◽  
The Individual ◽  
To Receive ◽  
Home Systems

Many home appliances available on the market are equipped with components to receive and generate data and communication modules allow connection to the Internet. As a result, the devices can be combined to smart homes systems. The analysis presents the individual capabilities of devices that can work in such systems. Presented are devices available on the market and made a smart home system working in Wi-Fi and Z-Wave networks.

scholarly journals Smart Home Gateway Based on Integration of Deep Reinforcement Learning and Blockchain Framework

Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1593
Author(s):  
Zeinab Shahbazi ◽  
Yung-Cheol Byun ◽  
Ho-Young Kwak
Keyword(s):  
Reinforcement Learning ◽  
Smart Home ◽  
Smart Homes ◽  
Smart Devices ◽  
Home Gateway ◽  
Home Based ◽  
Information And Communication ◽  
Smart Home Gateway ◽  
Iot Devices ◽  
The Right

The development of information and communication technology in terms of sensor technologies cause the Internet of Things (IoT) step toward smart homes for prevalent sensing and management of resources. The gateway connections contain various IoT devices in smart homes representing the security based on the centralized structure. To address the security purposes in this system, the blockchain framework is considered a smart home gateway to overcome the possible attacks and apply Deep Reinforcement Learning (DRL). The proposed blockchain-based smart home approach carefully evaluated the reliability and security in terms of accessibility, privacy, and integrity. To overcome traditional centralized architecture, blockchain is employed in the data store and exchange blocks. The data integrity inside and outside of the smart home cause the ability of network members to authenticate. The presented network implemented in the Ethereum blockchain, and the measurements are in terms of security, response time, and accuracy. The experimental results show that the proposed solution contains a better outperform than recent existing works. DRL is a learning-based algorithm which has the most effective aspects of the proposed approach to improve the performance of system based on the right values and combining with blockchain in terms of security of smart home based on the smart devices to overcome sharing and hacking the privacy. We have compared our proposed system with the other state-of-the-art and test this system in two types of datasets as NSL-KDD and KDD-CUP-99. DRL with an accuracy of 96.9% performs higher and has a stronger output compared with Artificial Neural Networks with an accuracy of 80.05% in the second stage, which contains 16% differences in terms of improving the accuracy of smart homes.

scholarly journals Development of a system for the security assessment for smart homes based on the IoT

Connectivity ◽  
2021 ◽  
Vol 149 (1) ◽  
Author(s):  
Ya. O. Halay ◽  
◽  
A. P. Bondarchuk ◽  
O. M. Tkalenko ◽  
O. V. Polonevych ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Smart Homes ◽  
Assessment System ◽  
Security And Privacy ◽  
The Internet ◽  
Security Assessment ◽  
Security Attacks ◽  
Home Based ◽  
The Internet Of Things

This article is about developing a security assessment system for smart homes that use Internet of Things technology. The Internet of Things (IoT) is a nascent paradigm focused on the relationship of things or devices to each other and users. Over time, most connections on the Internet of Things go from «people interact with things» to «things interact with things». This technology is expected to be an important milestone in the development of smart homes to bring convenience and efficiency to our lives and our homes. But the introduction of this IoT technology in our homes will be important for the safety of these technologies. Connecting all smart objects inside the house to the Internet and to each other leads to new security and privacy issues, such as the confidentiality, authenticity, and integrity of the data that is perceived and exchanged. These technologies are very vulnerable to various security attacks that make a smart home based on IoT unsafe to live in, so security risks need to be assessed to assess the situation of smart homes. For any technology to be successful and widely used, it must gain the trust of users, ensuring sufficient security and confidentiality. As in all sectors, maintaining security will be the most important challenge to overcome. As homes become more computerized and filled with devices, potential computer security attacks and their impact on residents need to be investigated. This paper uses a methodology that focuses mainly on information assets and examines containers (technical, physical and human) and conducts security risk assessments to highlight various security vulnerabilities in the smart home based on the Internet of Things, the consequences and proposing measures against identified problems. that meet most safety requirements. Finally, it offers recommendations for users.

IMPROVEMENT OF THE PATIENT CARE PROCESS BASED ON THE PRINCIPLES OF CLINICAL AUDIT

2020 ◽  
Vol 16 (72) ◽  
pp. 027
Author(s):  
А.О. Gavrilyuk ◽  
R.G. Zharlinska ◽  
А.А. Mishchuk ◽  
К.М. Vergeles ◽  
А.М. Berezovskyi ◽  
...  
Keyword(s):  
Patient Care ◽  
Clinical Audit ◽  
Care Process ◽  
Patient Care Process

Commentary on Chaplain-Physician Interactions From the Chaplain’s Perspective: A Mixed Method Analysis

2021 ◽  
pp. 104990912110030
Author(s):  
Rev George Handzo ◽  
Rev Brian Hughes
Keyword(s):  
Best Practices ◽  
Health System ◽  
Patient Care ◽  
Health Systems ◽  
Mixed Method ◽  
Effective Strategies ◽  
Optimal Patient Care ◽  
Relationship Of ◽  
The Relationship ◽  
Method Analysis

Gomez and her colleagues have presented a helpful study of the relationship of the chaplains in her health system to physicians which highlights several barriers to a well-integrated relationship and thus to more optimal patient care. We have seen these same barriers as we have consulted with health systems nationally and have also identified many best practices that mediate or even eliminate many of these barriers. This commentary describes some of what we have seen as chaplain-generated causes of those barriers and effective strategies that have been employed to overcome them. We also provide some resources for chaplains who wish to institute some of these best practices themselves.

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