Wellness determination of the elderly using spatio-temporal correlation analysis of daily activities

Ujager, Farhan Sabir; Mahmood, Azhar; Khatoon, Shaheen

doi:10.3233/ais-190538

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…Correlation analysis is a statistical analytic method used to investigate the correlation between 2 or more random variables with equal status, where the discussed variables share an identical status, and the analysis focuses on the correlation features between the random variables. 26,27 We used the corr() function in Python to establish a correlation analysis on the related influencing factors for the posts on the Baidu Post Bar during the COVID-19 transmission process.…”

Section: Correlation Analysismentioning

confidence: 99%

Internet Public Opinion Evolution in the COVID-19 Event and Coping Strategies

Zhong

2020

Disaster med. public health prep.

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Objective: In this study, we carried out a text analysis on the information disseminated and discussed among netizens on the Baidu Post Bar (the world’s largest Chinese forum) during the COVID-19 epidemic, to create a policy basis for health administrative departments. Methods: We used Python tools to search for the relevant data on the Baidu Post Bar. Next, a text analysis was performed on the posts’ contents using a combination of LDA, sentiment analysis, and correlation analysis. Results: According to the LDA analysis, the public was highly interested in topics such as COVID-19 prevention, infection symptoms, infection and coping measures, sources of transmission and treatments, community management, and work resumption. The majority of the public had negative emotional values, yet a portion of the public held positive emotional values. We also performed a correlation analysis of the influencing factors was established. Conclusion: Netizens’ degree of concern shown in their posts was greatly associated with the spread of COVID-19. With the rise, diffusion, outbreak, and mitigation of COVID-19 in China, netizens have successively created a large number of posts, and the topics of discussion varied over time. Therefore, the media and the government have the responsibility to distribute positive information, to correctly guide the public’s emotions to bring some sort of reassurance to the public.

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Section: Correlation Analysismentioning

confidence: 99%

Internet Public Opinion Evolution in the COVID-19 Event and Coping Strategies

Zhong

2020

Disaster med. public health prep.

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“…In that sense, new technologies, such as Internet of Things (IoT) and Cloud Computing, aim to enable people to live a more comfortable and healthy life, thereby improving their lifestyles [2]. People are directly benefiting from the application of IoT in domains such as patient care and health monitoring [3], elderly care [4], smart cities [5], smart transportation [6], smart agriculture [7,8], and food supply chain [9]. Other IoT application domains include the monitoring and control of water [8] and environmental pollution [8,10].…”

Section: Introductionmentioning

confidence: 99%

Development and Assessment of an Indoor Air Quality Control IoT-Based System

et al. 2023

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Good health and well-being are primary goals within the list of Sustainable Development Goals (SDGs) proposed by the United Nations (UN) in 2015. New technologies, such as Internet of Things (IoT) and Cloud Computing, can aid to achieve that goal by enabling people to improve their lifestyles and have a more healthy and comfortable life. Pollution monitoring is especially important in order to avoid exposure to fine particles and to control the impact of human activity on the natural environment. Some of the sources of hazardous gas emissions can be found indoors. For instance, carbon monoxide (CO), which is considered a silent killer because it can cause death, is emitted by water heaters and heaters that rely on fossil fuels. Existing solutions for indoor pollution monitoring suffer from some drawbacks that make their implementation impossible for households with limited financial resources. This paper presents the development of IdeAir, a low-cost IoT-based air quality monitoring system that aims to reduce the disadvantages of existing systems. IdeAir was designed as a proof of concept to capture and determine the concentrations of harmful gases in indoor environments and, depending on their concentration levels, issue alarms and notifications, turn on the fan, and/or open the door. It has been developed following the Test-Driven Development Methodology for IoT-based Systems (TDDM4IoTS), which, together with the tool (based on this methodology) used for the automation of the development of IoT-based systems, has facilitated the work of the developers. Preliminary results on the functioning of IdeAir show a high level of acceptance by potential users.

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“…This network collects billions of data obtained from various devices we use in daily life and turns them into usable information [4]. Numerous applications have been developed in smart homes that change our living habits using IoT technology on issues such as comfort, healthcare services, security, and energy savings [36,50,58,60].…”

Section: Introductionmentioning

confidence: 99%

A low-cost air quality monitoring system based on Internet of Things for smart homes

Taştan

2022

AIS

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Global climate change and COVID-19 have changed our social and business life. People spend most of their daily lives indoors. Low-cost devices can monitor indoor air quality (IAQ) and reduce health problems caused by air pollutants. This study proposes a real-time and low-cost air quality monitoring system for smart homes based on Internet of Things (IoT). The developed IoT-based monitoring system is portable and provides users with real-time data transfer about IAQ. During the COVID-19 period, air quality data were collected from the kitchen, bedroom and balcony of their home, where a family of 5 spend most of their time. As a result of the analyzes, it has been determined that indoor particulate matter is mainly caused by outdoor infiltration and cooking emissions, and the CO2 value can rise well above the permissible health limits in case of insufficient ventilation due to night sleep activity. The obtained results show that the developed measuring devices may be suitable for measurement-based indoor air quality management. In addition, the proposed low-cost measurement system compared to existing systems; It has advantages such as modularity, scalability, low cost, portability, easy installation and open-source technologies.

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Wellness determination of the elderly using spatio-temporal correlation analysis of daily activities

Cited by 7 publications

References 14 publications

Internet Public Opinion Evolution in the COVID-19 Event and Coping Strategies

Internet Public Opinion Evolution in the COVID-19 Event and Coping Strategies

Development and Assessment of an Indoor Air Quality Control IoT-Based System

A low-cost air quality monitoring system based on Internet of Things for smart homes

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