Arduino-Based Solution for In-Car-Abandoned Infants' Detection Remotely Managed by Smartphone Application

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

doi:10.24138/jcomss.v15i2.691

Cited by 14 publications

(12 citation statements)

References 14 publications

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“…9, No. 2, April 2020 : 514 -524 516 application: it is light and small so easily insertable into prosthesis, enables the simple performing of all the tasks needed for the right operation of the prosthesis and its power consumption is low, thus extending battery life [11]. Figure 3 (b) shows the connection scheme of the Arduino board with employed modules, sensors and actuators; the communication with HM-11 BLE module is implemented through serial interface with TX/RX pins, the analog FSR400 pressure and LM35 temperature sensors are connected to analoginputs of embedded ADC with a capacitor referred to ground for noise and electromagnetic interferences rejection [12].…”

Section: Research Methods 21 Devices and Circuital Solutions To Drive And Control Prosthesis Motionmentioning

confidence: 99%

A prosthetic limb managed by sensors-based electronic system: Experimental results on amputees

Gaetani¹,

Fazio

Zappatore³

et al. 2020

Bulletin EEI

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Taking the advantages offered by smart high-performance electronic devices, transradial prosthesis for upper-limb amputees was developed and tested. It is equipped with sensing devices and actuators allowing hand movements; myoelectric signals are detected by Myo armband with 8 ElectroMyoGraphic (EMG) electrodes, a 9-axis Inertial Measurement Unit (IMU) and Bluetooth Low Energy (BLE) module. All data are received through HM-11 BLE transceiver by Arduino board which processes them and drives actuators. Raspberry Pi board controls a touchscreen display, providing user a feedback related to prosthesis functioning and sends EMG and IMU data, gathered via the armband, to cloud platform thus allowing orthopedic during rehabilitation period, to monitor users’ improvements in real time. A GUI software integrating a machine learning algorithm was implemented for recognizing flexion/extension/rest gestures of user fingers. The algorithm performances were tested on 9 male subjects (8 able-bodied and 1 subject affected by upper-limb amelia), demonstrating high accuracy and fast responses.

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Section: Research Methods 21 Devices and Circuital Solutions To Drive And Control Prosthesis Motionmentioning

confidence: 99%

A prosthetic limb managed by sensors-based electronic system: Experimental results on amputees

Gaetani¹,

Fazio

Zappatore³

et al. 2020

Bulletin EEI

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“…Future work will explore a tactile rendering strategy that prevents users from stopping their walk each time an instruction is displayed. It has also been envisaged to incorporate a remote monitoring functionality [ 49 ] into the navigation app that allows families and caregivers to locate the visually disabled pedestrian. This module will certainly increase the user’s safety.…”

Section: Discussionmentioning

confidence: 99%

Wearable Urban Mobility Assistive Device for Visually Impaired Pedestrians Using a Smartphone and a Tactile-Foot Interface

Tachiquin

Velázquez

Del-Valle-Soto

et al. 2021

Sensors

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This paper reports on the progress of a wearable assistive technology (AT) device designed to enhance the independent, safe, and efficient mobility of blind and visually impaired pedestrians in outdoor environments. Such device exploits the smartphone’s positioning and computing capabilities to locate and guide users along urban settings. The necessary navigation instructions to reach a destination are encoded as vibrating patterns which are conveyed to the user via a foot-placed tactile interface. To determine the performance of the proposed AT device, two user experiments were conducted. The first one requested a group of 20 voluntary normally sighted subjects to recognize the feedback provided by the tactile-foot interface. The results showed recognition rates over 93%. The second experiment involved two blind voluntary subjects which were assisted to find target destinations along public urban pathways. Results show that the subjects successfully accomplished the task and suggest that blind and visually impaired pedestrians might find the AT device and its concept approach useful, friendly, fast to master, and easy to use.

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“…In addition, the identification of each productive process step and entity which stores the products information along the SC is required. These operations are enabled by the IoT technologies [ 46 , 47 ]. Specifically, the information related to the production environment, to the product transformation or to the transport conditions are acquired and monitored by sensors placed along the whole SC.…”

Section: Scientific Work and Commercial Devices For Precision Farmentioning

confidence: 99%

Development of Sensors-Based Agri-Food Traceability System Remotely Managed by a Software Platform for Optimized Farm Management

Visconti

Fazio

Velázquez

et al. 2020

Sensors

Self Cite

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The huge spreading of Internet of things (IoT)-oriented modern technologies is revolutionizing all fields of human activities, leading several benefits and allowing to strongly optimize classic productive processes. The agriculture field is also affected by these technological advances, resulting in better water and fertilizers’ usage and so huge improvements of both quality and yield of the crops. In this manuscript, the development of an IoT-based smart traceability and farm management system is described, which calibrates the irrigations and fertigation operations as a function of crop typology, growth phase, soil and environment parameters and weather information; a suitable software architecture was developed to support the system decision-making process, also based on data collected on-field by a properly designed solar-powered wireless sensor network (WSN). The WSN nodes were realized by using the ESP8266 NodeMCU module exploiting its microcontroller functionalities and Wi-Fi connectivity. Thanks to a properly sized solar power supply system and an optimized scheduling scheme, a long node autonomy was guaranteed, as experimentally verified by its power consumption measures, thus reducing WSN maintenance. In addition, a literature analysis on the most used wireless technologies for agri-food products’ traceability is reported, together with the design and testing of a Bluetooth low energy (BLE) low-cost sensor tag to be applied into the containers of agri-food products, just collected from the fields or already processed, to monitor the main parameters indicative of any failure or spoiling over time along the supply chain. A mobile application was developed for monitoring the tracking information and storing conditions of the agri-food products. Test results in real-operative scenarios demonstrate the proper operation of the BLE smart tag prototype and tracking system.

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Arduino-Based Solution for In-Car-Abandoned Infants' Detection Remotely Managed by Smartphone Application

Cited by 14 publications

References 14 publications

A prosthetic limb managed by sensors-based electronic system: Experimental results on amputees

A prosthetic limb managed by sensors-based electronic system: Experimental results on amputees

Wearable Urban Mobility Assistive Device for Visually Impaired Pedestrians Using a Smartphone and a Tactile-Foot Interface

Development of Sensors-Based Agri-Food Traceability System Remotely Managed by a Software Platform for Optimized Farm Management

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