Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human–Robot Architecture for Search and Rescue
The roles of emergency responders are challenging and often physically demanding, so it is essential that their duties are performed safely and effectively. In this article, we address real-time bio-signal sensor monitoring for responders in disaster scenarios. In particular, we propose the integrat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/1/49 |
| _version_ | 1797431193048711168 |
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| author | Pablo Vera-Ortega Ricardo Vázquez-Martín J. J. Fernandez-Lozano Alfonso García-Cerezo Anthony Mandow |
| author_facet | Pablo Vera-Ortega Ricardo Vázquez-Martín J. J. Fernandez-Lozano Alfonso García-Cerezo Anthony Mandow |
| author_sort | Pablo Vera-Ortega |
| collection | DOAJ |
| description | The roles of emergency responders are challenging and often physically demanding, so it is essential that their duties are performed safely and effectively. In this article, we address real-time bio-signal sensor monitoring for responders in disaster scenarios. In particular, we propose the integration of a set of health monitoring sensors suitable for detecting stress, anxiety and physical fatigue in an Internet of Cooperative Agents architecture for search and rescue (SAR) missions (SAR-IoCA), which allows remote control and communication between human and robotic agents and the mission control center. With this purpose, we performed proof-of-concept experiments with a bio-signal sensor suite worn by firefighters in two high-fidelity SAR exercises. Moreover, we conducted a survey, distributed to end-users through the Fire Brigade consortium of the Provincial Council of Málaga, in order to analyze the firefighters’ opinion about biological signals monitoring while on duty. As a result of this methodology, we propose a wearable sensor suite design with the aim of providing some easy-to-wear integrated-sensor garments, which are suitable for emergency worker activity. The article offers discussion of user acceptance, performance results and learned lessons. |
| first_indexed | 2024-03-09T09:41:22Z |
| format | Article |
| id | doaj.art-147a785dc67242a8b6df71120629d1bf |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T09:41:22Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-147a785dc67242a8b6df71120629d1bf2023-12-02T00:52:51ZengMDPI AGSensors1424-82202022-12-012314910.3390/s23010049Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human–Robot Architecture for Search and RescuePablo Vera-Ortega0Ricardo Vázquez-Martín1J. J. Fernandez-Lozano2Alfonso García-Cerezo3Anthony Mandow4Robotics and Mechatronics Lab, Institute for Mechatronics Engineering & Cyber-physical Systems, Universidad de Málaga, 29071 Málaga, SpainRobotics and Mechatronics Lab, Institute for Mechatronics Engineering & Cyber-physical Systems, Universidad de Málaga, 29071 Málaga, SpainRobotics and Mechatronics Lab, Institute for Mechatronics Engineering & Cyber-physical Systems, Universidad de Málaga, 29071 Málaga, SpainRobotics and Mechatronics Lab, Institute for Mechatronics Engineering & Cyber-physical Systems, Universidad de Málaga, 29071 Málaga, SpainRobotics and Mechatronics Lab, Institute for Mechatronics Engineering & Cyber-physical Systems, Universidad de Málaga, 29071 Málaga, SpainThe roles of emergency responders are challenging and often physically demanding, so it is essential that their duties are performed safely and effectively. In this article, we address real-time bio-signal sensor monitoring for responders in disaster scenarios. In particular, we propose the integration of a set of health monitoring sensors suitable for detecting stress, anxiety and physical fatigue in an Internet of Cooperative Agents architecture for search and rescue (SAR) missions (SAR-IoCA), which allows remote control and communication between human and robotic agents and the mission control center. With this purpose, we performed proof-of-concept experiments with a bio-signal sensor suite worn by firefighters in two high-fidelity SAR exercises. Moreover, we conducted a survey, distributed to end-users through the Fire Brigade consortium of the Provincial Council of Málaga, in order to analyze the firefighters’ opinion about biological signals monitoring while on duty. As a result of this methodology, we propose a wearable sensor suite design with the aim of providing some easy-to-wear integrated-sensor garments, which are suitable for emergency worker activity. The article offers discussion of user acceptance, performance results and learned lessons.https://www.mdpi.com/1424-8220/23/1/49real-time monitoringbio-signalsremote sensorscloud robotics5G communicationssearch and rescue |
| spellingShingle | Pablo Vera-Ortega Ricardo Vázquez-Martín J. J. Fernandez-Lozano Alfonso García-Cerezo Anthony Mandow Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human–Robot Architecture for Search and Rescue Sensors real-time monitoring bio-signals remote sensors cloud robotics 5G communications search and rescue |
| title | Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human–Robot Architecture for Search and Rescue |
| title_full | Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human–Robot Architecture for Search and Rescue |
| title_fullStr | Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human–Robot Architecture for Search and Rescue |
| title_full_unstemmed | Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human–Robot Architecture for Search and Rescue |
| title_short | Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human–Robot Architecture for Search and Rescue |
| title_sort | enabling remote responder bio signal monitoring in a cooperative human robot architecture for search and rescue |
| topic | real-time monitoring bio-signals remote sensors cloud robotics 5G communications search and rescue |
| url | https://www.mdpi.com/1424-8220/23/1/49 |
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