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Evaluation of a Sensor System for Detecting Humans Trapped under Rubble: A Pilot Study
by
Cimarelli Giacomo
, Atsuo Takanishi
, Hiroya Yamada
, Sarah Cosentino
, Yasuaki Mochida
, Ritaro Kasai
, Michele Guarnieri
, Salvatore Sessa
, Di Zhang
in
Cameras
/ Chemical technology
/ Disasters
/ earthquake rescue
/ gas sensor
/ Humans
/ life detection
/ life detection; earthquake rescue; gas sensor; voice recognition; thermal vision camera
/ Pilot Projects
/ Rescue Work
/ Sensors
/ Sensory Aids
/ Survivors
/ thermal vision camera
/ TP1-1185
/ voice recognition
2018
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Evaluation of a Sensor System for Detecting Humans Trapped under Rubble: A Pilot Study
by
Cimarelli Giacomo
, Atsuo Takanishi
, Hiroya Yamada
, Sarah Cosentino
, Yasuaki Mochida
, Ritaro Kasai
, Michele Guarnieri
, Salvatore Sessa
, Di Zhang
in
Cameras
/ Chemical technology
/ Disasters
/ earthquake rescue
/ gas sensor
/ Humans
/ life detection
/ life detection; earthquake rescue; gas sensor; voice recognition; thermal vision camera
/ Pilot Projects
/ Rescue Work
/ Sensors
/ Sensory Aids
/ Survivors
/ thermal vision camera
/ TP1-1185
/ voice recognition
2018
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Evaluation of a Sensor System for Detecting Humans Trapped under Rubble: A Pilot Study
by
Cimarelli Giacomo
, Atsuo Takanishi
, Hiroya Yamada
, Sarah Cosentino
, Yasuaki Mochida
, Ritaro Kasai
, Michele Guarnieri
, Salvatore Sessa
, Di Zhang
in
Cameras
/ Chemical technology
/ Disasters
/ earthquake rescue
/ gas sensor
/ Humans
/ life detection
/ life detection; earthquake rescue; gas sensor; voice recognition; thermal vision camera
/ Pilot Projects
/ Rescue Work
/ Sensors
/ Sensory Aids
/ Survivors
/ thermal vision camera
/ TP1-1185
/ voice recognition
2018
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Evaluation of a Sensor System for Detecting Humans Trapped under Rubble: A Pilot Study
Journal Article
Evaluation of a Sensor System for Detecting Humans Trapped under Rubble: A Pilot Study
2018
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Overview
Rapid localization of injured survivors by rescue teams to prevent death is a major issue. In this paper, a sensor system for human rescue including three different types of sensors, a CO2 sensor, a thermal camera, and a microphone, is proposed. The performance of this system in detecting living victims under the rubble has been tested in a high-fidelity simulated disaster area. Results show that the CO2 sensor is useful to effectively reduce the possible concerned area, while the thermal camera can confirm the correct position of the victim. Moreover, it is believed that the use of microphones in connection with other sensors would be of great benefit for the detection of casualties. In this work, an algorithm to recognize voices or suspected human noise under rubble has also been developed and tested.
Publisher
MDPI AG,MDPI
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