Event-Driven Framework for Detecting Unusual Patterns in AAL Environments

Larcher, Lucas; Ströele, Victor; Dantas, Mário A. R.; Bauer, Michael

doi:10.1109/cbms49503.2020.00065

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…Figure 3 shows a detailed view of fog nodes from the perspective of the recommendation system. This structure was defined considering previous work where a fog-cloud cooperation proved a differentiated approach for processing large volumes of data in an Ambient Assisted Living [20].…”

Section: A Fogmentioning

confidence: 99%

Atena: A Public Primary Healthcare Environment Supported by an Implementation Science Approach

Dantas

Campos

Mendonças

et al. 2021

Preprint

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Public primary healthcare environments are facing grand challenges related to digital transformations. This is reported from many studies, in several countries, and observed from diverse areas. The present war against the Covid-19 pandemic has shown the required utilization of combined information and communications technology approaches. In this paper we present the Atena research work, which is a proposal development that focus on a public primary healthcare system digital transformation. The approach of implementation science is observed through our scientific studies of methods to gather the digital data, and recommendation strategies to facilitate healthcare personal, and using the evidence-based practice from the Atena. Study scenarios provide interesting view of several elements which can help to enhance a wider discussion about technologies and their scientific implementation. We considered wearable devices used by different groups of voluntaries. Vital digital signals from these voluntaries were gathered to afterwards be evaluated by professionals inside the healthcare premises. To provide a better understanding of these people´s behaviors, a recommendation system (RS) is being conceived as a support tool, utilizing their digital vital signals. Another element from the proposal is a simulator-based architecture. This component highlights people´s movement and predictable scenarios of contamination. A common daily monitoring scenario can be enhanced from these simulations’ experiences. After our initial results, it is possible to affirm that the Antena proposal provides a valuable approach to face several efforts in digital transformation in public primary healthcare structures. This transformation can be verified in the present pandemic scenario. Experiences from this research indicates that the adoption of some computational technologies requires major changes on the present behavior from governments and citizens.

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Section: A Fogmentioning

confidence: 99%

Atena: A Public Primary Healthcare Environment Supported by an Implementation Science Approach

Dantas

Campos

Mendonças

et al. 2021

Preprint

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show abstract

“…Examples of OAuth being used in IoT networks can be found in [21] and an evaluation of OAuth can be found in [22]. Activities in AAL (Ambient Assisted Living) [23][24][25] has been analyzed. API keys and OAuth would allow the platform to disable access for certain data providers.…”

Section: Data Providermentioning

confidence: 99%

Smart City Decision Making System Based on Event-driven Platform

Šarić

Zakarija

Batoš

et al. 2021

LOGI – Scientific Journal on Transport and Logistics

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With the occurrence of rapid urbanization and intensive growth of different modes of transport, we face issues such as resource management, energy demand and lack of capacity due to overcrowding. To help with these issues we leverage technology and the Internet of Things (IoT) to develop smart cities. In this paper, we propose an innovative approach to development of new smart city event-driven platform with which we want to simplify data input, data transformation, and decision making processes. The platform uses events, labels and reliability factor to make decisions and trigger actions. This paper begins with an overview of the smart city framework and we review the characteristics of event-driven models. The event-driven platform is presented and discussed. The paper closes with our findings, suggestions, open issues, and future research possibilities.

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“…Tais ferramentas já provaram ser capazes de suportar a grande carga de dados recebidos dos usuários e não afetar o processamento e a entrega de informac ¸ões. Em [Larcher et al 2020], um framework para reconhecer padrões anômalos no comportamento de pessoas idosas foi implementada usando a arquitetura lambda para processamento em tempo real e o esquema Fog-Cloud para mitigar o volume de informac ¸ões recebidas pela nuvem.…”

Section: Trabalhos Relacionadosunclassified

Uma Arquitetura Fog-Cloud para o Monitoramento de Sinais Corporais

Leão

Silva

Ströele

et al. 2021

Anais Estendidos Do XXII Simpósio Em Sistemas Computacionais De Alto Desempenho (SSCAD Estendido 2021)

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Com a popularização de sensores vestíveis cada vez mais disseminada, a observação de dados corporais se tornou ainda mais pertinente. Por meio do estudo dos dados fornecidos por tais sensores, juntamente com dados de localização, para enriquecer as análises, somos capazes de detectar situações de estresse. Para que tal tarefa seja exequível, é necessária uma arquitetura robusta que comporte o volume de dados a serem consumidos pelos sistemas que detectam tais situações. Dessa forma, este trabalho apresenta uma proposta de arquitetura Fog-Cloud que faz uso de dados corporais e de localização por meio de técnicas de Machine Learning para determinar momentos de estresse do usuário.

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Event-Driven Framework for Detecting Unusual Patterns in AAL Environments

Cited by 7 publications

References 14 publications

Atena: A Public Primary Healthcare Environment Supported by an Implementation Science Approach

Atena: A Public Primary Healthcare Environment Supported by an Implementation Science Approach

Smart City Decision Making System Based on Event-driven Platform

Uma Arquitetura Fog-Cloud para o Monitoramento de Sinais Corporais

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