Annotation-Based Access Control Approach for Ubiquitous Systems

Benigno, Rhoney; Pedrosa, Natan; Tomé, Pedro; Araujo, Wesley; Valladares‐Neto, José; Junior, Eucassio; Mota, Savio; Filho, José Bringel; Martin, Hervé

doi:10.1109/aina.2014.31

Cited by 2 publications

(4 citation statements)

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“…Thus, data can be collected and transmitted to analyze and represent individuals' information remotely [4,6]. Therefore, interactive applications on mobile devices can be used for individualized sensing and monitoring using cameras and other mobile device sensors, such as specific gadgets [7]. For instance, these applications can issue warnings to teams of health professionals or family members whenever they detect some abnormality [1,8].…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Exploiting Offloading in IoT-Based Microfog: Experiments with Face Recognition and Fall Detection

Valladares‐Neto

Filho

Mano

et al. 2019

Wireless Communications and Mobile Computing

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The growth in many countries of the population in need of healthcare and with reduced mobility in many countries shows the demand for the development of assistive technologies to cater for this public, especially when they require home treatment after being discharged from the hospital. To this end, interactive applications on mobile devices are often integrated into intelligent environments. Such environments usually have limited resources, which are not capable of processing great volumes of data and can expend much energy due to devices being in communication to a cloud. Some approaches have tried to minimize these problems by using fog microdatacenter networks to provide high computational capabilities. However, full outsourcing of the data analysis to a microfog can generate a reduced level of accuracy and adaptability. In this work, we propose a healthcare system that uses data offloading to increase performance in an IoT-based microfog, providing resources and improving health monitoring. The main challenge of the proposed system is to provide high data processing with low latency in an environment with limited resources. Therefore, the main contribution of this work is to design an offloading algorithm to ensure resource provision in a microfog and synchronize the complexity of data processing through a healthcare environment architecture. We validated and evaluated the system using two interactive applications of individualized monitoring: (1) recognition of people using images and (2) fall detection using the combination of sensors (accelerometer and gyroscope) on a smartwatch and smartphone. Our system improves by 54% and 15% on the processing time of the user recognition and Fall Decision applications, respectively. In addition, it showed promising results, notably (a) high accuracy in identifying individuals, as well as detecting their mobility; and (b) efficiency when implemented in devices with scarce resources.

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Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Exploiting Offloading in IoT-Based Microfog: Experiments with Face Recognition and Fall Detection

Valladares‐Neto

Filho

Mano

et al. 2019

Wireless Communications and Mobile Computing

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“…A transição de volta para casa após a alta hospitalar é um momento vulnerável para os pacientes. Neste contexto, as Health Smart Homes (HSH), também conhecidas como ambientes de Cuidados de Saúde em Casas Inteligentes, têm surgido como uma opção promissora para melhorar a qualidade de vida das pessoas tratadas em casa e fornecer conforto para pessoas com alguma deficiência, mobilidade reduzida e/ou idosos (BENIGNO et al, 2014;BANERJEE et al, 2015;LIOUANE et al, 2016). Tipicamente, o tratamento de pessoas com mobilidade reduzida dentro do contexto de HSH usa inteligência computacional para monitorá-las enquanto elas estão se recuperando em suas casas (ROMERO et al, 2009).…”

Section: Lista De Ilustraçõesunclassified

“…Aplicações interativas em dispositivos móveis podem ser utilizadas para o sensoriamento inteligente e monitoramento individualizado de pessoas utilizando câmeras, sensores de dispositivos móveis ou gadgets específicos (BENIGNO et al, 2014). Neste contexto, HSH tem sido extensivamente estudado na literatura com os avanços do uso da IoT na assistência de saúde domiciliar.…”

Section: Ambientes Inteligentes De Iotunclassified

“…Em razão desse crescimento das tecnologias de IoT, aplicações para a captura e análise de dados dos indivíduos em diferentes contextos, especialmente no contexto residencial e personalizado, são viáveis (HE et al, 2017;MUTLAG et al, 2019). Neste contexto, sistemas de monitoramento de saúde auxiliam principalmente pessoas com deficiência, com mobilidade reduzida (e.g., idosos) (BENIGNO et al, 2014;BANERJEE et al, 2015;LIOUANE et al, 2016;HE et al, 2017). Um exemplo desse tipo de aplicação é a detecção de quedas e a identificação do indivíduo, as quais ajudam na assistência aos cuidados de saúde de um determinado usuário.…”

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Descarga adaptativa em ambiente com névoa heterogênea: estudo de caso para a área da saúde

Neto¹,

Rodrigues²

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Annotation-Based Access Control Approach for Ubiquitous Systems

Cited by 2 publications

References 20 publications

Exploiting Offloading in IoT-Based Microfog: Experiments with Face Recognition and Fall Detection

Exploiting Offloading in IoT-Based Microfog: Experiments with Face Recognition and Fall Detection

Descarga adaptativa em ambiente com névoa heterogênea: estudo de caso para a área da saúde

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