scholarly journals Internet of Things (IoT)-Enabled Elderly Fall Verification, Exploiting Temporal Inference Models in Smart Homes

2020 ◽  
Vol 17 (2) ◽  
pp. 408 ◽  
Author(s):  
Grigorios Kyriakopoulos ◽  
Stamatios Ntanos ◽  
Theodoros Anagnostopoulos ◽  
Nikolaos Tsotsolas ◽  
Ioannis Salmon ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Synthetic Data ◽  
Smart Homes ◽  
The Elderly ◽  
Classification Methods ◽  
Inference Models ◽  
Fall Incident ◽  
Temporal Inference ◽  
Iot Devices ◽  
Serious Injuries

Everyday life of the elderly and impaired population living in smart homes is challenging because of possible accidents that may occur due to daily activities. In such activities, persons often lean over (to reach something) and, if they not cautious, are prone to falling. To identify fall incidents, which could stochastically cause serious injuries or even death, we propose specific temporal inference models; namely, CM-I and CM-II. These models can infer a fall incident based on classification methods by exploiting wearable Internet of Things (IoT) altimeter sensors adopted by seniors. We analyzed real and synthetic data of fall and lean over incidents to test the proposed models. The results are promising for incorporating such inference models to assist healthcare for fall verification of seniors in smart homes. Specifically, the CM-II model achieved a prediction accuracy of 0.98, which is the highest accuracy when compared to other models in the literature under the McNemar’s test criterion. These models could be incorporated in wearable IoT devices to provide early warning and prediction of fall incidents to clinical doctors.

scholarly journals Clinical Perspective on Internet of Things Applications for Care of the Elderly

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1925
Author(s):  
Soe Ye Yint Tun ◽  
Samaneh Madanian ◽  
Dave Parry
Keyword(s):  
Internet Of Things ◽  
Older People ◽  
Clinical Utility ◽  
Elderly Care ◽  
The Elderly ◽  
Aged Care ◽  
Information Technology Professionals ◽  
Future Research ◽  
Iot Applications ◽  
Iot Devices

The elderly population is increasing globally, putting more pressure on aged care and public health systems. To address this issue and help increase the independence of older people, different digital technologies, including the Internet of things (IoT), can play an important role. Although there has been an increase in the number of studies in this field, most of them concentrate on IoT applications in elderly care from a technology perspective, with very little contribution from the clinical side. Therefore, this paper aims to investigate and identify the available IoT applications and their clinical utility for common diseases in elderly people. The results of this study could be useful for information technology professionals in developing and understanding the clinical requirements for IoT applications in healthcare for older people. Clinicians will also be informed about the clinical possibilities of using IoT devices in this area. Based on our findings, future research should focus on enhancing the clinical utility of current IoT applications in different settings and on developing new applications to support practitioners and older people.

scholarly journals Automatic Failure Recovery for Container-Based IoT Edge Applications

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 3047
Author(s):  
Kolade Olorunnife ◽  
Kevin Lee ◽  
Jonathan Kua
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Smart Homes ◽  
Edge Computing ◽  
Failure Recovery ◽  
Software Failures ◽  
Iot Applications ◽  
Remote Management ◽  
Management Ability ◽  
Iot Devices

Recent years have seen the rapid adoption of Internet of Things (IoT) technologies, where billions of physical devices are interconnected to provide data sensing, computing and actuating capabilities. IoT-based systems have been extensively deployed across various sectors, such as smart homes, smart cities, smart transport, smart logistics and so forth. Newer paradigms such as edge computing are developed to facilitate computation and data intelligence to be performed closer to IoT devices, hence reducing latency for time-sensitive tasks. However, IoT applications are increasingly being deployed in remote and difficult to reach areas for edge computing scenarios. These deployment locations make upgrading application and dealing with software failures difficult. IoT applications are also increasingly being deployed as containers which offer increased remote management ability but are more complex to configure. This paper proposes an approach for effectively managing, updating and re-configuring container-based IoT software as efficiently, scalably and reliably as possible with minimal downtime upon the detection of software failures. The approach is evaluated using docker container-based IoT application deployments in an edge computing scenario.

Applications of IOT in Smart Cities and Smart Environment

2019 ◽  
pp. 7-17 ◽  
Author(s):  
Keerthivasan G ◽  
Aishwarya G ◽  
Jawahar G ◽  
Muthukumar C
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Smart Homes ◽  
The Internet ◽  
Large Network ◽  
Smart Environment ◽  
Transfer Data ◽  
Ecological Resources ◽  
The World ◽  
Iot Devices

Internet of things is one of the emerging technologies in the world. Through which we can generate a large network among the tiny devices to communicate with each other to develop environmental and ecological resources. Most of the smart technology devices are designed by IoT network of devices. By connecting these devices that help to interact with each other and to collect and transfer data over the internet. The IoT devices working speed and their performance have improved by introducing a device called a sensor. The idea of IoT devices with sensors that sense the data and make smart decisions in the environment. This paper makes it clear about the benefits of IoT devices over technology in the modern environment. The sensors in IoT devices are connected to Wi-Fi, Bluetooth and RFID etc. to collect useful data. By connecting devices over the network, the world will become smart and thus it evolves the smart environment including smart homes, smart buildings and smart cities. It is believed that about 30 billion people in the world will use at least one IoT technology devices by the year 2020. To maintain our environment safe and secure the IoT devices play a major role in several enabling technologies. This paper is to present the applications of IoT in smart cities and the environment and a brief explanation about their uses.

scholarly journals The Messaging Kettle: It’s IoTea time

2015 ◽  
Vol 1 (1) ◽  
pp. 2 ◽  
Author(s):  
Alessandro Soro ◽  
Margot Brereton ◽  
Paul Roe
Keyword(s):  
Internet Of Things ◽  
Adult Children ◽  
Smart Homes ◽  
The Elderly ◽  
Asynchronous Communication ◽  
The Internet ◽  
Older Parents ◽  
Sense Of Presence ◽  
The People ◽  
The Internet Of Things

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>It’s time to consider people in designing the Internet of Things (IoT). We demonstrate a working prototype of a Messaging Kettle. It is designed to facilitate asynchronous communication and enable a sense of presence between adult children and their older parents living remotely from them through the familiar comfort routine of boiling the kettle to make a cup of tea. Our goal is to offer a human centred critique of the Internet of Things, which has largely been conceived without consideration of the people who will use the things, and rather has traditionally moved from a technology oriented perspective. In the case of smart homes this approach has produced a wide array of projects focused on monitoring the habits of the elderly, recognizing anomalies and alerting the caregivers. In contrast we propose to focus on engagement and reciprocity, building on the rituals associated with habitually used and cherished objects. We conclude by revisiting the technology-oriented framework for the Internet of Things to include our observations on people’s perspectives on smart communicating objects. </span></p></div></div></div>

scholarly journals A Systematic Analysis of Internet of Things in Healthcare Applications : A Review

2021 ◽  
Vol 23 (09) ◽  
pp. 112-125
Author(s):  
Shagun Arora ◽  
◽  
Gurvinder Singh ◽  
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Healthcare System ◽  
Management Strategies ◽  
The Elderly ◽  
The Internet ◽  
Healthcare Applications ◽  
Systematic Analysis ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) is a network of physical devices, software, and hardware that communicate with one another. As the population ages, healthcare resources become scarce, and medical expenses rise, IoT-based solutions must be adapted to meet these issues in healthcare. To enhance the monitoring efficiency of the IoT-based healthcare system, several studies have been conducted. In this paper, the architecture utilized in the IoT, particularly cloud-integrated systems and security in IoT devices is explored. Factors like accuracy and power consumption are major concerns in the Internet of Things, therefore research projects aimed at enhancing the performance of IoT-based healthcare systems are highlighted. In this work, data management strategies in an IoT-based healthcare system with cloud capabilities are thoroughly examined. The performance of the IoT-based healthcare system is examined, as well as its benefits and drawbacks. Moreover, a comparative analysis is also done on some existing technologies that are utilized in healthcare. It has been observed from past studies that IoT protocol such as 6LoWPAN is mostly utilized in the domain of health care. The majority of research studies are effective in detecting many symptoms and accurately predicting illnesses. The IoT-based healthcare system built specifically for the elderly is an effective way to keep track of their medical concerns. High power consumption, a scarcity of resources, and security concerns major drawbacks of current systems are included in the proposed study.

scholarly journals Recognition of the Cybersecurity State of IoT devices

TEM Journal ◽  
2021 ◽  
pp. 1912-1918
Author(s):  
M.E. Sukhoparov ◽  
I.S. Lebedev
Keyword(s):  
Time Series ◽  
Internet Of Things ◽  
Processing Time ◽  
External Information ◽  
Classification Methods ◽  
Internal Resources ◽  
Software And Hardware ◽  
Mass Development ◽  
Process Execution ◽  
Iot Devices

The identification of the cybersecurity (CS) state of Internet of things (IoT) devices determines the necessity to search for and improve approaches to detecting various threat types. The unification used in the mass development of IoT devices facilitates software and hardware modification to block certain built-in protective functions from the side of a potential intruder. A need arises to develop universal methods for identifying the cybersecurity state of devices using comprehensive approaches to analyzing data from internal and external information channels. The article presents an approach to identifying the cybersecurity of IoT devices based on processing time series recorded from sensors during various processes, and internal and external (thirdparty) sources. The approach is based on classification methods. The presented solution uses template sequences containing synchronized time series showing numerical values obtained from various probes and sensors during process execution. The proposed approach makes it possible to identify IoT device cybersecurity states without increasing the volume of information stored and processed in internal resources.

scholarly journals Deep Learning Based Fall Detection Algorithms for Embedded Systems, Smartwatches, and IoT Devices Using Accelerometers

Technologies ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 72
Author(s):  
Dimitri Kraft ◽  
Karthik Srinivasan ◽  
Gerald Bieber
Keyword(s):  
Deep Learning ◽  
Embedded Systems ◽  
Recognition Rate ◽  
Elderly Person ◽  
Fall Detection ◽  
The Elderly ◽  
Detection Algorithms ◽  
Independent Life ◽  
Iot Devices ◽  
Serious Injuries

A fall of an elderly person often leads to serious injuries or even death. Many falls occur in the home environment and remain unrecognized. Therefore, a reliable fall detection is absolutely necessary for a fast help. Wrist-worn accelerometer based fall detection systems are developed, but the accuracy and precision are not standardized, comparable, or sometimes even known. In this work, we present an overview about existing public databases with sensor based fall datasets and harmonize existing wrist-worn datasets for a broader and robust evaluation. Furthermore, we are analyzing the current possible recognition rate of fall detection using deep learning algorithms for mobile and embedded systems. The presented results and databases can be used for further research and optimizations in order to increase the recognition rate to enhance the independent life of the elderly. Furthermore, we give an outlook for a convenient application and wrist device.

scholarly journals Voice Assistant Application for Avoiding Sedentarism in Elderly People Based on IoT Technologies

Electronics ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 980
Author(s):  
Adrián Valera Román ◽  
Denis Pato Martínez ◽  
Álvaro Lozano Murciego ◽  
Diego M. Jiménez-Bravo ◽  
Juan F. de Paz
Keyword(s):  
Physical Activity ◽  
Internet Of Things ◽  
Digital Divide ◽  
Case Studies ◽  
Elderly People ◽  
User Interfaces ◽  
The Elderly ◽  
Access To Information ◽  
Iot Devices ◽  
Use Of Internet

The rise in the use of virtual assistants such as Siri, Google Assistant, or Alexa among different sectors of society is facilitating access to information and services that were previously inconceivable due to the existing digital divide due to age. This situation allows especially the elderly to perform tasks much more easily and to access applications and services that could be a challenge for them with other digital user interfaces. With this in mind, the EMERITI project aims to improve the lives of the elderly through the use of virtual assistants in different case studies. In this sense, virtual voice assistants along with the use of Internet of Things (IoT) technologies can contribute to avoid sedentarism in the elderly; however, it is necessary to address the problem of proactivity presented by the virtual assistants available in the market. This article presents a solution that, through the use of activity monitoring smart bracelets, IoT devices and virtual voice assistants allow the elderly to monitor their daily physical activity simply by using their voice and therefore prevent them from sedentary patterns. Finally, this study presents the technical results obtained after the deployment of the proposed system and discusses the main advantages and the current challenges of the use of virtual assistants in applications to prevent sedentary lifestyles in the elderly.

Bringing Security to The Smallest Embedded Systems

2017 ◽  
Author(s):  
JOSEPH YIU
Keyword(s):  
Internet Of Things ◽  
Embedded Systems ◽  
Low Cost ◽  
Security Requirements ◽  
The Internet ◽  
Security Measures ◽  
Significant Challenge ◽  
Iot Devices

The increasing need for security in microcontrollers Security has long been a significant challenge in microcontroller applications(MCUs). Traditionally, many microcontroller systems did not have strong security measures against remote attacks as most of them are not connected to the Internet, and many microcontrollers are deemed to be cheap and simple. With the growth of IoT (Internet of Things), security in low cost microcontrollers moved toward the spotlight and the security requirements of these IoT devices are now just as critical as high-end systems due to:

The Development of Intelligence Walking Stick for Elderly Health Care using IoT

2020 ◽  
Vol 9 (5) ◽  
pp. 1334-1338
Keyword(s):  
Health Care ◽  
Daily Living ◽  
The Elderly ◽  
Mean Value ◽  
Real Time System ◽  
Pressure Oxygen ◽  
Elderly Health ◽  
The Mean ◽  
Iot Devices ◽  
Walking Stick

Nowadays, Thailand is stepping into an aging society. This research purposes developing the intelligence walking stick for the elderly in terms of the health care system by applied the IoT devices and biometric sensors in a real-time system. The heart rate, blood pressure, oxygen saturation, and temperature were measured at the finger of the elderly that holding the intelligence walking stick. All data can monitor and display on mobile devices. The intelligence walking stick system was evaluated by twenty users who are five experts and fifteen elderly in Ratchaburi province. As a result of the mean value at 4.88 and 4.85 by experts and elderly, respectively. It could be said that the development of intelligence walking stick by using IoT can help and improve the daily living of the elderly at the highest level.

Sign in / Sign up

Export Citation Format

Share Document