Developing a Virtual Reality Environment for Mining Research
Abstract Recent advances in computing, rendering, and display technologies have generated increased accessibility for virtual reality (VR). VR allows the creation of dynamic, high-fidelity environments to simulate dangerous situations, test conditions, and visualize concepts. Consequently, numerous...
Ausführliche Beschreibung
Autor*in: |
Bellanca, Jennica L. [verfasserIn] |
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E-Artikel |
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Englisch |
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2019 |
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Anmerkung: |
© This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2019 |
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Übergeordnetes Werk: |
Enthalten in: Mining, metallurgy & exploration - [Cham] : Springer International Publishing, 2019, 36(2019), 4 vom: 14. Jan., Seite 597-606 |
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Übergeordnetes Werk: |
volume:36 ; year:2019 ; number:4 ; day:14 ; month:01 ; pages:597-606 |
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DOI / URN: |
10.1007/s42461-018-0046-2 |
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SPR038601079 |
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10.1007/s42461-018-0046-2 doi (DE-627)SPR038601079 (SPR)s42461-018-0046-2-e DE-627 ger DE-627 rakwb eng Bellanca, Jennica L. verfasserin (orcid)0000-0002-3507-1584 aut Developing a Virtual Reality Environment for Mining Research 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2019 Abstract Recent advances in computing, rendering, and display technologies have generated increased accessibility for virtual reality (VR). VR allows the creation of dynamic, high-fidelity environments to simulate dangerous situations, test conditions, and visualize concepts. Consequently, numerous products have been developed, but many of these are limited in scope. Therefore, the National Institute for Occupational Safety and Health researchers developed a VR framework, called VR Mine, to rapidly create an underground mine for human data collection, simulation, visualization, and training. This paper describes the features of VR Mine using self-escape and proximity detection as case studies. Features include mine generation, simulated networks, proximity detection systems, and the integration and visualization of real-time ventilation models. Virtual reality (dpeaa)DE-He213 Mining (dpeaa)DE-He213 Research design (dpeaa)DE-He213 Human factors (dpeaa)DE-He213 Orr, Timothy J. aut Helfrich, William J. aut Macdonald, Brendan aut Navoyski, Jason aut Demich, Brendan aut Enthalten in Mining, metallurgy & exploration [Cham] : Springer International Publishing, 2019 36(2019), 4 vom: 14. Jan., Seite 597-606 (DE-627)1039800637 (DE-600)2947829-7 2524-3470 nnns volume:36 year:2019 number:4 day:14 month:01 pages:597-606 https://dx.doi.org/10.1007/s42461-018-0046-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA AR 36 2019 4 14 01 597-606 |
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10.1007/s42461-018-0046-2 doi (DE-627)SPR038601079 (SPR)s42461-018-0046-2-e DE-627 ger DE-627 rakwb eng Bellanca, Jennica L. verfasserin (orcid)0000-0002-3507-1584 aut Developing a Virtual Reality Environment for Mining Research 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2019 Abstract Recent advances in computing, rendering, and display technologies have generated increased accessibility for virtual reality (VR). VR allows the creation of dynamic, high-fidelity environments to simulate dangerous situations, test conditions, and visualize concepts. Consequently, numerous products have been developed, but many of these are limited in scope. Therefore, the National Institute for Occupational Safety and Health researchers developed a VR framework, called VR Mine, to rapidly create an underground mine for human data collection, simulation, visualization, and training. This paper describes the features of VR Mine using self-escape and proximity detection as case studies. Features include mine generation, simulated networks, proximity detection systems, and the integration and visualization of real-time ventilation models. Virtual reality (dpeaa)DE-He213 Mining (dpeaa)DE-He213 Research design (dpeaa)DE-He213 Human factors (dpeaa)DE-He213 Orr, Timothy J. aut Helfrich, William J. aut Macdonald, Brendan aut Navoyski, Jason aut Demich, Brendan aut Enthalten in Mining, metallurgy & exploration [Cham] : Springer International Publishing, 2019 36(2019), 4 vom: 14. Jan., Seite 597-606 (DE-627)1039800637 (DE-600)2947829-7 2524-3470 nnns volume:36 year:2019 number:4 day:14 month:01 pages:597-606 https://dx.doi.org/10.1007/s42461-018-0046-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA AR 36 2019 4 14 01 597-606 |
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10.1007/s42461-018-0046-2 doi (DE-627)SPR038601079 (SPR)s42461-018-0046-2-e DE-627 ger DE-627 rakwb eng Bellanca, Jennica L. verfasserin (orcid)0000-0002-3507-1584 aut Developing a Virtual Reality Environment for Mining Research 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2019 Abstract Recent advances in computing, rendering, and display technologies have generated increased accessibility for virtual reality (VR). VR allows the creation of dynamic, high-fidelity environments to simulate dangerous situations, test conditions, and visualize concepts. Consequently, numerous products have been developed, but many of these are limited in scope. Therefore, the National Institute for Occupational Safety and Health researchers developed a VR framework, called VR Mine, to rapidly create an underground mine for human data collection, simulation, visualization, and training. This paper describes the features of VR Mine using self-escape and proximity detection as case studies. Features include mine generation, simulated networks, proximity detection systems, and the integration and visualization of real-time ventilation models. Virtual reality (dpeaa)DE-He213 Mining (dpeaa)DE-He213 Research design (dpeaa)DE-He213 Human factors (dpeaa)DE-He213 Orr, Timothy J. aut Helfrich, William J. aut Macdonald, Brendan aut Navoyski, Jason aut Demich, Brendan aut Enthalten in Mining, metallurgy & exploration [Cham] : Springer International Publishing, 2019 36(2019), 4 vom: 14. Jan., Seite 597-606 (DE-627)1039800637 (DE-600)2947829-7 2524-3470 nnns volume:36 year:2019 number:4 day:14 month:01 pages:597-606 https://dx.doi.org/10.1007/s42461-018-0046-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA AR 36 2019 4 14 01 597-606 |
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10.1007/s42461-018-0046-2 doi (DE-627)SPR038601079 (SPR)s42461-018-0046-2-e DE-627 ger DE-627 rakwb eng Bellanca, Jennica L. verfasserin (orcid)0000-0002-3507-1584 aut Developing a Virtual Reality Environment for Mining Research 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2019 Abstract Recent advances in computing, rendering, and display technologies have generated increased accessibility for virtual reality (VR). VR allows the creation of dynamic, high-fidelity environments to simulate dangerous situations, test conditions, and visualize concepts. Consequently, numerous products have been developed, but many of these are limited in scope. Therefore, the National Institute for Occupational Safety and Health researchers developed a VR framework, called VR Mine, to rapidly create an underground mine for human data collection, simulation, visualization, and training. This paper describes the features of VR Mine using self-escape and proximity detection as case studies. Features include mine generation, simulated networks, proximity detection systems, and the integration and visualization of real-time ventilation models. Virtual reality (dpeaa)DE-He213 Mining (dpeaa)DE-He213 Research design (dpeaa)DE-He213 Human factors (dpeaa)DE-He213 Orr, Timothy J. aut Helfrich, William J. aut Macdonald, Brendan aut Navoyski, Jason aut Demich, Brendan aut Enthalten in Mining, metallurgy & exploration [Cham] : Springer International Publishing, 2019 36(2019), 4 vom: 14. Jan., Seite 597-606 (DE-627)1039800637 (DE-600)2947829-7 2524-3470 nnns volume:36 year:2019 number:4 day:14 month:01 pages:597-606 https://dx.doi.org/10.1007/s42461-018-0046-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA AR 36 2019 4 14 01 597-606 |
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10.1007/s42461-018-0046-2 doi (DE-627)SPR038601079 (SPR)s42461-018-0046-2-e DE-627 ger DE-627 rakwb eng Bellanca, Jennica L. verfasserin (orcid)0000-0002-3507-1584 aut Developing a Virtual Reality Environment for Mining Research 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2019 Abstract Recent advances in computing, rendering, and display technologies have generated increased accessibility for virtual reality (VR). VR allows the creation of dynamic, high-fidelity environments to simulate dangerous situations, test conditions, and visualize concepts. Consequently, numerous products have been developed, but many of these are limited in scope. Therefore, the National Institute for Occupational Safety and Health researchers developed a VR framework, called VR Mine, to rapidly create an underground mine for human data collection, simulation, visualization, and training. This paper describes the features of VR Mine using self-escape and proximity detection as case studies. Features include mine generation, simulated networks, proximity detection systems, and the integration and visualization of real-time ventilation models. Virtual reality (dpeaa)DE-He213 Mining (dpeaa)DE-He213 Research design (dpeaa)DE-He213 Human factors (dpeaa)DE-He213 Orr, Timothy J. aut Helfrich, William J. aut Macdonald, Brendan aut Navoyski, Jason aut Demich, Brendan aut Enthalten in Mining, metallurgy & exploration [Cham] : Springer International Publishing, 2019 36(2019), 4 vom: 14. Jan., Seite 597-606 (DE-627)1039800637 (DE-600)2947829-7 2524-3470 nnns volume:36 year:2019 number:4 day:14 month:01 pages:597-606 https://dx.doi.org/10.1007/s42461-018-0046-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA AR 36 2019 4 14 01 597-606 |
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Abstract Recent advances in computing, rendering, and display technologies have generated increased accessibility for virtual reality (VR). VR allows the creation of dynamic, high-fidelity environments to simulate dangerous situations, test conditions, and visualize concepts. Consequently, numerous products have been developed, but many of these are limited in scope. Therefore, the National Institute for Occupational Safety and Health researchers developed a VR framework, called VR Mine, to rapidly create an underground mine for human data collection, simulation, visualization, and training. This paper describes the features of VR Mine using self-escape and proximity detection as case studies. Features include mine generation, simulated networks, proximity detection systems, and the integration and visualization of real-time ventilation models. © This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2019 |
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Abstract Recent advances in computing, rendering, and display technologies have generated increased accessibility for virtual reality (VR). VR allows the creation of dynamic, high-fidelity environments to simulate dangerous situations, test conditions, and visualize concepts. Consequently, numerous products have been developed, but many of these are limited in scope. Therefore, the National Institute for Occupational Safety and Health researchers developed a VR framework, called VR Mine, to rapidly create an underground mine for human data collection, simulation, visualization, and training. This paper describes the features of VR Mine using self-escape and proximity detection as case studies. Features include mine generation, simulated networks, proximity detection systems, and the integration and visualization of real-time ventilation models. © This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2019 |
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Abstract Recent advances in computing, rendering, and display technologies have generated increased accessibility for virtual reality (VR). VR allows the creation of dynamic, high-fidelity environments to simulate dangerous situations, test conditions, and visualize concepts. Consequently, numerous products have been developed, but many of these are limited in scope. Therefore, the National Institute for Occupational Safety and Health researchers developed a VR framework, called VR Mine, to rapidly create an underground mine for human data collection, simulation, visualization, and training. This paper describes the features of VR Mine using self-escape and proximity detection as case studies. Features include mine generation, simulated networks, proximity detection systems, and the integration and visualization of real-time ventilation models. © This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2019 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR038601079</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519214319.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s42461-018-0046-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR038601079</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42461-018-0046-2-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bellanca, Jennica L.</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-3507-1584</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Developing a Virtual Reality Environment for Mining Research</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Recent advances in computing, rendering, and display technologies have generated increased accessibility for virtual reality (VR). 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