Wearable Body Sensor Networks: State-of-the-Art and Research Directions

Gravina, Raffaele; Fortino, Giancarlo

doi:10.1109/jsen.2020.3044447

Cited by 51 publications

(18 citation statements)

References 91 publications

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“…In addition, a WBSN can involve off-body, on-body, and in-body sensors; thus, we can differentiate extra-WBSN and intra-WBSN communication [ 5 ]. Connectivity solutions mostly use radiofrequency (RF) wireless technologies through different standards such as Bluetooth Low Energy among others [ 6 , 7 ], with air then being the communication medium. In addition, the human body is also used as a communication medium for intra-WBSN [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Channel Modeling of an Optical Wireless Body Sensor Network for Walk Monitoring of Elderly

Kaba

Sahuguède

Julien-Vergonjanne

2021

Sensors

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The growing aging of the world population is leading to an aggravation of diseases, which affect the autonomy of the elderly. Wireless body sensor networks (WBSN) are part of the solutions studied for several years to monitor and prevent loss of autonomy. The use of optical wireless communications (OWC) is seen as an alternative to radio frequencies, relevant when electromagnetic interference and data security considerations are important. One of the main challenges in this context is optical channel modeling for efficiently designing high-reliability systems. We propose here a suitable optical WBSN channel model for tracking the elderly during a walk. We discuss the specificities related to the model of the body, to movements, and to the walking speed by comparing elderly and young models, taking into account the walk temporal evolution using the sliding windowing technique. We point out that, when considering a young body model, performance is either overestimated or underestimated, depending on which windowing parameter is fixed. It is, therefore, important to consider the body model of the elderly in the design of the system. To illustrate this result, we then evaluate the minimal power according to the maximal bandwidth for a given quality of service.

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Section: Introductionmentioning

confidence: 99%

Channel Modeling of an Optical Wireless Body Sensor Network for Walk Monitoring of Elderly

Kaba

Sahuguède

Julien-Vergonjanne

2021

Sensors

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“…However, these conventional hardware configurations accommodate a limited range of head movement and suffer from poor precision [110]. In contrast, eye-wear based systems have improved accuracy, tracking speed, mobility and portability, which are important attributes for a wearable HMI application [111].…”

Section: Applicationsmentioning

confidence: 99%

State-of-the-Art in Smart Contact Lenses for Human–Machine Interaction

Xia

Khamis

Fernández

et al. 2023

IEEE Trans. Human-Mach. Syst.

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Contact lenses have traditionally been used for vision correction applications. Recent advances in microelectronics and nanofabrication on flexible substrates have now enabled sensors, circuits and other essential components to be integrated on a small contact lens platform. This has opened up the possibility of using contact lenses for a range of humanmachine interaction applications including vision assistance, eye tracking, displays and healthcare. In this article, we systematically review the range of smart contact lens materials, device architectures and components that facilitate this interaction for different applications. In fact, evidence from our systematic review demonstrates that these lenses can be used to display information, detect eye movements, restore vision and detect certain biomarkers in tear fluid. Consequently, whereas previous state-of the-art reviews in contact lenses focused exclusively on biosensing, our systematic review covers a wider range of smart contact lens applications in HMI. Moreover, we present a new method of classifying the literature on smart contact lenses according to their six constituent building blocks, which are the sensing, energy management, driver electronics, communications, substrate and the I/O interfacing modules. Based on recent developments in each of these categories, we speculate the challenges and opportunities of smart contact lenses for humanmachine interaction. Moreover, based on our analysis of the state-of-the-art we develop guidelines for the future design of a self-powered smart contact lens concept with integrated energy harvesters, sensors and communications modules. Therefore, our review is a critical evaluation of current data and is presented with the aim of guiding researchers to new research directions in smart contact lenses.

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“…Técnicas e ferramentas de monitoramento de pessoas por meio de dados coletados por sensores corporais têm sido objeto de diversas pesquisas. Isso pode ser verificado por meio de estudos sobre o estado da arte em sensores corporais, conforme mostrado em [Gravina and Fortino 2020]. Com o aumento do número de trabalhos que abordam essa temática, existem trabalhos que fazem uso dessas informac ¸ões para identificar padrões de estresse e ansiedade [Ciabattoni et al 2017].…”

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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Wearable Body Sensor Networks: State-of-the-Art and Research Directions

Cited by 51 publications

References 91 publications

Channel Modeling of an Optical Wireless Body Sensor Network for Walk Monitoring of Elderly

Channel Modeling of an Optical Wireless Body Sensor Network for Walk Monitoring of Elderly

State-of-the-Art in Smart Contact Lenses for Human–Machine Interaction

Uma Arquitetura Fog-Cloud para o Monitoramento de Sinais Corporais

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