Wearable Interfaces and Advanced Sensors to Enhance Firefighters Safety in Forest Fires

Battistoni, Pietro; Gregorio, Marianna Di; Giordano, D.; Sebillo, Monica; Tortora, Genoveffa; Vitiello, Giuliana

doi:10.1145/3399715.3399961

Cited by 1 publication

(3 citation statements)

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“…In [17], Jayasree and Kumar propose a helmet embedded with an accelerometer and a gyroscope sensor to monitor construction workers' physical conditions and send a notification to the contractor via the mobile. In [18], the authors propose a wearable device to enhance firefighters' safety in forest fires. The device has sensors to detect a probable accident and a GPS based locating-solution to follow lone workers during risky activities and reach them promptly in case of aid request.…”

Section: Related Workmentioning

confidence: 99%

“…Papers [15][16][17][18] propose solutions to autonomously alert rescuers when wearable sensors record a fall detection or other foreseeable accidents.…”

Section: Wearable Sensorsmentioning

confidence: 99%

“…Although in this proposal, only a free-fall detector has been installed on the Belt-Device, the ESP32 module used in the hardware circuit has plenty of interfaces to connect more sensors. For example, in [18], an additional temperature and humidity sensor has been experimented with the same ESP32 electronic module to detect a Firefighter's exposure to heat. More sensors with I2C, single wire, or simply TTL serial communication can be added with very few adjustments to the firmware and the hardware of the Belt-Device.…”

Section: Sensors Scalabilitymentioning

confidence: 99%

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An IoT-Based Mobile System for Safety Monitoring of Lone Workers

Battistoni

Sebillo

Vitiello

2021

IoT

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The European Agency for Safety and Health at Work considers Smart Personal Protective Equipment as “Intelligent Protection For The Future”. It mainly consists of electronic components that collect data about their use, the workers who wear them, and the working environment. This paper proposes a distributed solution of Smart Personal Protective Equipment for the safety monitoring of Lone Workers by adopting low-cost electronic devices. In addition to the same hazards as anyone else, Lone Workers need additional and specific systems due to the higher risk they run on a work site. To this end, the Edge-Computing paradigm can be adopted to deploy an architecture embedding wearable devices, which alerts safety managers when workers do not wear the prescribed Personal Protective Equipment and supports a fast rescue when a worker seeks help or an accidental fall is automatically detected. The proposed system is a work-in-progress which provides an architecture design to accommodate different requirements, namely the deployment difficulties at temporary and large working sites, the maintenance and connectivity recurring cost issues, the respect for the workers’ privacy, and the simplicity of use for workers and their supervisors.

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Section: Related Workmentioning

confidence: 99%

“…Papers [15][16][17][18] propose solutions to autonomously alert rescuers when wearable sensors record a fall detection or other foreseeable accidents.…”

Section: Wearable Sensorsmentioning

confidence: 99%

Section: Sensors Scalabilitymentioning

confidence: 99%

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