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A wearable system for situational awareness estimation in underground mines

Published: 22 January 2020 Publication History

Abstract

Underground mining causes injuries and deaths each year all over the world. Among them, human errors such as inappropriate operation are one of the leading causes. The special environment in underground mines may significantly impact situational awareness (SA) of miners. Therefore, in this paper, we develops a wearable system for multiple physiological indicator acquisition for further SA estimation in underground mines. The validation experiment is conducted in a historical underground mine with high humidity level. Multiple physiological signals can be successfully detected in the special environment.

References

[1]
Xian Li and Ye Sun. 2017. NCMB-Button: A wearable non-contact system for long-term multiple biopotential monitoring. In Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE '17). IEEE Press, 348--355.
[2]
Mica R. Endsley (1995). Toward a theory of situation awareness in dynamic systems. Human Factors, 37, 32--64.
[3]
Mica R. Endsley (2000). Theoretical underpinnings of situation awareness: A critical review. Situation awareness analysis and measurement, 1, 24.

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  • (2023)Physiological Indices to Predict Driver Situation Awareness in VRAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3610687(40-45)Online publication date: 8-Oct-2023
  • (2022)Situation-Aware Sensor-Based Wearable Computing Systems: A Reference Architecture-Driven ReviewIEEE Sensors Journal10.1109/JSEN.2022.318090222:14(13853-13863)Online publication date: 15-Jul-2022
  • (2022)Situation Awareness in Multi-User Wearable Computing Systems2022 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)10.1109/CogSIMA54611.2022.9830672(133-138)Online publication date: 6-Jun-2022

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      cover image ACM Conferences
      CHASE '18: Proceedings of the 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies
      September 2018
      139 pages
      ISBN:9781450359580
      DOI:10.1145/3278576
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      Published: 22 January 2020

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      Author Tags

      1. ECG
      2. eye movement
      3. situational awareness
      4. underground mine
      5. wearable devices

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      View all
      • (2023)Physiological Indices to Predict Driver Situation Awareness in VRAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3610687(40-45)Online publication date: 8-Oct-2023
      • (2022)Situation-Aware Sensor-Based Wearable Computing Systems: A Reference Architecture-Driven ReviewIEEE Sensors Journal10.1109/JSEN.2022.318090222:14(13853-13863)Online publication date: 15-Jul-2022
      • (2022)Situation Awareness in Multi-User Wearable Computing Systems2022 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)10.1109/CogSIMA54611.2022.9830672(133-138)Online publication date: 6-Jun-2022

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