A Wireless Body Sensor Network and Its Applications: Rehearsal with a Smartphone

Hyun, WooSeok; You, Ilsun; Jang, JoungSoon; Leu, Fang−Yie

doi:10.1109/imis.2016.116

Cited by 6 publications

(5 citation statements)

References 6 publications

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“…The following table shows a sample of readings recorded over the same period of time. For the application being reported, the data recorded are within tolerant limits [16], [17]. This validates the measurements recorded by the proposed Wireless Sensor Network (WSN).…”

Section: A Comparison and System Calibrationsupporting

confidence: 77%

Wireless Sensor Network for Monitoring Physical Variables Applied to Green Technology (IoT Green Technology)

Garcia

Sanchez

Marin

et al. 2018

EJECE

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In this article an experimental system of sensor network for monitoring physical variables applied to green technology in conjunction with internet of things (IoT) is presented. This, in a controlled ambient, that can guarantee the development and growth of the plants (exemplary/specimen). This application is focused on agriculture. Using Wireless Sensor Network (WSN) has a promising future due to current technical advances and its almost unlimited applications. This work propose WSN topologies, the measurement methodology, the sensors distribution and the visualization of the registered data in function of the area monitored, the communication protocol established by Wi-Fi and the reads of the environmental temperature (ET), environmental humidity (EH) and ground humidity (GH) are registered and displayed in the web, during the registry of this measurements the data is analyzed and processed to perform relevant actions oriented to the control of physical variables at the monitored environmental area. Monitoring of the physical environmental conditions is registered every hour in a period of 24 hours. It is proposed to apply the system to green technologies together with internet of the things.

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Section: A Comparison and System Calibrationsupporting

confidence: 77%

Wireless Sensor Network for Monitoring Physical Variables Applied to Green Technology (IoT Green Technology)

Garcia

Sanchez

Marin

et al. 2018

EJECE

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“…The mesh nodes from the WSBN connect to a central master, also called the sink. The master controls the communications with the sensors and communicates with an exterior gateway to the wireless local area network (WLAN) [59]. Energy and security of the data transmitted are of great importance.…”

Section: Technologies For Wireless Communicationsmentioning

confidence: 99%

Domiciliary Hospitalization through Wearable Biomonitoring Patches: Recent Advances, Technical Challenges, and the Relation to Covid-19

Silva

Tavakoli

2020

Sensors

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This article reviews recent advances and existing challenges for the application of wearable bioelectronics for patient monitoring and domiciliary hospitalization. More specifically, we focus on technical challenges and solutions for the implementation of wearable and conformal bioelectronics for long-term patient biomonitoring and discuss their application on the Internet of medical things (IoMT). We first discuss the general architecture of IoMT systems for domiciliary hospitalization and the three layers of the system, including the sensing, communication, and application layers. In regard to the sensing layer, we focus on current trends, recent advances, and challenges in the implementation of stretchable patches. This includes fabrication strategies and solutions for energy storage and energy harvesting, such as printed batteries and supercapacitors. As a case study, we discuss the application of IoMT for domiciliary hospitalization of COVID 19 patients. This can be used as a strategy to reduce the pressure on the healthcare system, as it allows continuous patient monitoring and reduced physical presence in the hospital, and at the same time enables the collection of large data for posterior analysis. Finally, based on the previous works in the field, we recommend a conceptual IoMT design for wearable monitoring of COVID 19 patients.

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“…11 Kurtosis E (a i − µ) 4 In this stage, we focus on the Acc all trend of transition activity data. Figure 3 shows the trend of three main features of "Standing-QuickWalk".…”

Section: Nomentioning

confidence: 99%

“…In recent decades, with the popularity of smart phones and other wearable devices, HAR applications based on built-in inertial sensors have been significantly developed. For example, WooSeok Hyun et al [4] developed a wireless body sensor network which integrated different physiological sensors to sense physiological data from a human body with smartphones as computing platform. Chetty Girija et al [5] realized an automatic and intelligent daily activity monitoring application for elderly people using smartphone inertial sensors.…”

Section: Introductionmentioning

confidence: 99%

Transition Activity Recognition System Based on Standard Deviation Trend Analysis

Shi

Zuo

Zhang

2020

Sensors

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With the development and popularity of micro-electromechanical systems (MEMS) and smartphones, sensor-based human activity recognition (HAR) has been widely applied. Although various kinds of HAR systems have achieved outstanding results, there are still issues to be solved in this field, such as transition activities, which means the transitional process between two different basic activities, discussed in this paper. In this paper, we design an algorithm based on standard deviation trend analysis (STD-TA) for recognizing transition activity. Compared with other methods, which directly take them as basic activities, our method achieves a better overall performance: the accuracy is over 80% on real data.

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A Wireless Body Sensor Network and Its Applications: Rehearsal with a Smartphone

Cited by 6 publications

References 6 publications

Wireless Sensor Network for Monitoring Physical Variables Applied to Green Technology (IoT Green Technology)

Wireless Sensor Network for Monitoring Physical Variables Applied to Green Technology (IoT Green Technology)

Domiciliary Hospitalization through Wearable Biomonitoring Patches: Recent Advances, Technical Challenges, and the Relation to Covid-19

Transition Activity Recognition System Based on Standard Deviation Trend Analysis

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