Innovative complete solution for health safety of children unintentionally forgotten in a car: a smart Arduino‐based system with user app for remote control

Visconti, Paolo; Fazio, Roberto De; Costantini, Paolo; Miccoli, Simone; Cafagna, Donato

doi:10.1049/iet-smt.2018.5664

Cited by 15 publications

(9 citation statements)

References 10 publications

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“…The on-board acquisition section of the ZE07-CO module is based on an STM32F040F4 microcontroller (manufactured by STMicroelectronics), which acquires and elaborates the analogue signal provided by the conditioning section, making it available in the correct form to the master microcontroller via the UART interface. The CCS811 digital gas sensor is an ultra-low-power metal oxide (MOX) gas sensor that detects the equivalent CO2 (eCO2) and the concentration of total volatile organic compounds (TVOCs) (Figure 11c) [39].…”

Section: System Testing and Experimental Resultsmentioning

confidence: 99%

Sensors-based mobile robot for harsh environments: functionalities, energy consumption analysis and characterization

et al. 2021

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Mobile robots and rovers play an important role in many industrial applications. Under certain constraints, they are suitable in harsh environments and conditions in which protracted human activity is not safe or permitted. In many circumstances, mechanical aspects and electrical consumption need to be optimized for autonomous and wheeled mobile robots. The paper illustrates the design of a semi-custom wheeled mobile robot with high-efficiency mono- or polycrystalline photovoltaic panel on the roof that supports the lithium ion batteries during particular tasks (e.g. navigating rough terrain, obstacles or steep paths) to extend the robot’s autonomy. An electronic controller was designed, and data acquisition related to power consumption performed using a specific experimental setup. The robot can detect parameters such as temperature, humidity, concentrations of toxic gas species and the presence of flames, making it particularly suitable for contaminated environments or industrial plants. For this aim, the mobile robot was equipped with a wide range of commercial sensors and a Global Positioning System receiver to track its position. In addition, using an HC-06 Bluetooth transceiver, the robot receives commands and instructions, and sends the acquired data to the developed IoTool smartphone application, where they are displayed to be analysed by user.

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Section: System Testing and Experimental Resultsmentioning

confidence: 99%

Sensors-based mobile robot for harsh environments: functionalities, energy consumption analysis and characterization

et al. 2021

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“…Wearable sensors are in high demand in various new application areas, including health screening, human-machine interfaces, soft robotics [66], and custom health monitoring [67][68][69][70]. Specifically, wearable strain sensors should be mechanically flexible for enabling conformal connection to a curved surface and high sensitivity, essential features for wearable electronics [71].…”

Section: Overview Of Smart Piezoresistive Textiles and Materials Used To Monitor Respiration Ratementioning

confidence: 99%

An Overview of Wearable Piezoresistive and Inertial Sensors for Respiration Rate Monitoring

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The demand for wearable devices to measure respiratory activity is constantly growing, finding applications in a wide range of scenarios (e.g., clinical environments and workplaces, outdoors for monitoring sports activities, etc.). Particularly, the respiration rate (RR) is a vital parameter since it indicates serious illness (e.g., pneumonia, emphysema, pulmonary embolism, etc.). Therefore, several solutions have been presented in the scientific literature and on the market to make RR monitoring simple, accurate, reliable and noninvasive. Among the different transduction methods, the piezoresistive and inertial ones satisfactorily meet the requirements for smart wearable devices since unobtrusive, lightweight and easy to integrate. Hence, this review paper focuses on innovative wearable devices, detection strategies and algorithms that exploit piezoresistive or inertial sensors to monitor the breathing parameters. At first, this paper presents a comprehensive overview of innovative piezoresistive wearable devices for measuring user’s respiratory variables. Later, a survey of novel piezoresistive textiles to develop wearable devices for detecting breathing movements is reported. Afterwards, the state-of-art about wearable devices to monitor the respiratory parameters, based on inertial sensors (i.e., accelerometers and gyroscopes), is presented for detecting dysfunctions or pathologies in a non-invasive and accurate way. In this field, several processing tools are employed to extract the respiratory parameters from inertial data; therefore, an overview of algorithms and methods to determine the respiratory rate from acceleration data is provided. Finally, comparative analysis for all the covered topics are reported, providing useful insights to develop the next generation of wearable sensors for monitoring respiratory parameters.

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“…are employed, using properly defined metrics, to determine and track the duration and intensity of the social contact. Furthermore, several wearable IoT solutions have been proposed to remotely monitor biophysical conditions and detect symptoms commonly associated with COVID-19 early (cough, shortness of breath, low SpO 2 level) (Calabrese et al, 2020;de Fazio et al, 2020b;Grant et al, 2020;Larsen et al, 2020;Seshadri et al, 2020;Visconti et al, 2020).…”

Section: Overview Of Commercial Wearable Solutions For Complying With Social Distancing Rulesmentioning

confidence: 99%

Wearable devices and IoT applications for symptom detection, infection tracking, and diffusion containment of the COVID-19 pandemic: a survey

Fazio

Giannoccaro

Carrasco

et al. 2021

Front Inform Technol Electron Eng

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Until a safe and effective vaccine to fight the SARS-CoV-2 virus is developed and available for the global population, preventive measures, such as wearable tracking and monitoring systems supported by Internet of Things (IoT) infrastructures, are valuable tools for containing the pandemic. In this review paper we analyze innovative wearable systems for limiting the virus spread, early detection of the first symptoms of the coronavirus disease COVID-19 infection, and remote monitoring of the health conditions of infected patients during the quarantine. The attention is focused on systems allowing quick user screening through ready-to-use hardware and software components. Such sensor-based systems monitor the principal vital signs, detect symptoms related to COVID-19 early, and alert patients and medical staff. Novel wearable devices for complying with social distancing rules and limiting interpersonal contagion (such as smart masks) are investigated and analyzed. In addition, an overview of implantable devices for monitoring the effects of COVID-19 on the cardiovascular system is presented. Then we report an overview of tracing strategies and technologies for containing the COVID-19 pandemic based on IoT technologies, wearable devices, and cloud computing. In detail, we demonstrate the potential of radio frequency based signal technology, including Bluetooth Low Energy (BLE), Wi-Fi, and radio frequency identification (RFID), often combined with Apps and cloud technology. Finally, critical analysis and comparisons of the different discussed solutions are presented, highlighting their potential and providing new insights for developing innovative tools for facing future pandemics.

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Innovative complete solution for health safety of children unintentionally forgotten in a car: a smart Arduino‐based system with user app for remote control

Cited by 15 publications

References 10 publications

Sensors-based mobile robot for harsh environments: functionalities, energy consumption analysis and characterization

Sensors-based mobile robot for harsh environments: functionalities, energy consumption analysis and characterization

An Overview of Wearable Piezoresistive and Inertial Sensors for Respiration Rate Monitoring

Wearable devices and IoT applications for symptom detection, infection tracking, and diffusion containment of the COVID-19 pandemic: a survey

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