Assessment and Optimization of the Circadian Performance of Smartphone-Based Virtual Reality Displays
The non-visual effects of blue light in displays mean that excessive use of smartphones can disturb the human circadian rhythm. Thus, the impact of virtual reality (VR) headsets, which are worn closer to the human eye, may be even more serious. In this paper, based on non-visual parameters, such as...
Ausführliche Beschreibung
Autor*in: |
Tingzhu Wu [verfasserIn] Shijie Liang [verfasserIn] Lili Zheng [verfasserIn] Yue Lin [verfasserIn] Ziquan Guo [verfasserIn] Yulin Gao [verfasserIn] Yijun Lu [verfasserIn] Sung-Wen Huang Chen [verfasserIn] Chun-Fu Lee [verfasserIn] Jia-Rou Zhou [verfasserIn] Hao-Chung Kuo [verfasserIn] Zhong Chen [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Übergeordnetes Werk: |
In: IEEE Journal of the Electron Devices Society - IEEE, 2014, 7(2019), Seite 358-367 |
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Übergeordnetes Werk: |
volume:7 ; year:2019 ; pages:358-367 |
Links: |
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DOI / URN: |
10.1109/JEDS.2019.2899646 |
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Katalog-ID: |
DOAJ055558186 |
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10.1109/JEDS.2019.2899646 doi (DE-627)DOAJ055558186 (DE-599)DOAJd5c411c076074bbdb5b42393906fa429 DE-627 ger DE-627 rakwb eng TK1-9971 Tingzhu Wu verfasserin aut Assessment and Optimization of the Circadian Performance of Smartphone-Based Virtual Reality Displays 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The non-visual effects of blue light in displays mean that excessive use of smartphones can disturb the human circadian rhythm. Thus, the impact of virtual reality (VR) headsets, which are worn closer to the human eye, may be even more serious. In this paper, based on non-visual parameters, such as the circadian action factor (CAF) and circadian illuminance, the circadian performance of smartphone-based VR displays is quantitatively evaluated by an evaluation system we designed. Moreover, we investigate the improvements in the circadian performance of VR headsets resulting from three practical methods for reducing the blue light content. Finally, a theoretical method of shifting the green-light wavelength of the screen close to 555 nm to optimize the CAF of VR headsets is proposed. Overall, the results of this paper are of significant value in quantifying the effects of VR displays on circadian rhythms and improving the safety of VR headsets with regard to human health. Displays virtual reality measurement optimization methods spectral analysis Electrical engineering. Electronics. Nuclear engineering Shijie Liang verfasserin aut Lili Zheng verfasserin aut Yue Lin verfasserin aut Ziquan Guo verfasserin aut Yulin Gao verfasserin aut Yijun Lu verfasserin aut Sung-Wen Huang Chen verfasserin aut Chun-Fu Lee verfasserin aut Jia-Rou Zhou verfasserin aut Hao-Chung Kuo verfasserin aut Zhong Chen verfasserin aut In IEEE Journal of the Electron Devices Society IEEE, 2014 7(2019), Seite 358-367 (DE-627)733363016 (DE-600)2696552-5 21686734 nnns volume:7 year:2019 pages:358-367 https://doi.org/10.1109/JEDS.2019.2899646 kostenfrei https://doaj.org/article/d5c411c076074bbdb5b42393906fa429 kostenfrei https://ieeexplore.ieee.org/document/8642876/ kostenfrei https://doaj.org/toc/2168-6734 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 358-367 |
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10.1109/JEDS.2019.2899646 doi (DE-627)DOAJ055558186 (DE-599)DOAJd5c411c076074bbdb5b42393906fa429 DE-627 ger DE-627 rakwb eng TK1-9971 Tingzhu Wu verfasserin aut Assessment and Optimization of the Circadian Performance of Smartphone-Based Virtual Reality Displays 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The non-visual effects of blue light in displays mean that excessive use of smartphones can disturb the human circadian rhythm. Thus, the impact of virtual reality (VR) headsets, which are worn closer to the human eye, may be even more serious. In this paper, based on non-visual parameters, such as the circadian action factor (CAF) and circadian illuminance, the circadian performance of smartphone-based VR displays is quantitatively evaluated by an evaluation system we designed. Moreover, we investigate the improvements in the circadian performance of VR headsets resulting from three practical methods for reducing the blue light content. Finally, a theoretical method of shifting the green-light wavelength of the screen close to 555 nm to optimize the CAF of VR headsets is proposed. Overall, the results of this paper are of significant value in quantifying the effects of VR displays on circadian rhythms and improving the safety of VR headsets with regard to human health. Displays virtual reality measurement optimization methods spectral analysis Electrical engineering. Electronics. Nuclear engineering Shijie Liang verfasserin aut Lili Zheng verfasserin aut Yue Lin verfasserin aut Ziquan Guo verfasserin aut Yulin Gao verfasserin aut Yijun Lu verfasserin aut Sung-Wen Huang Chen verfasserin aut Chun-Fu Lee verfasserin aut Jia-Rou Zhou verfasserin aut Hao-Chung Kuo verfasserin aut Zhong Chen verfasserin aut In IEEE Journal of the Electron Devices Society IEEE, 2014 7(2019), Seite 358-367 (DE-627)733363016 (DE-600)2696552-5 21686734 nnns volume:7 year:2019 pages:358-367 https://doi.org/10.1109/JEDS.2019.2899646 kostenfrei https://doaj.org/article/d5c411c076074bbdb5b42393906fa429 kostenfrei https://ieeexplore.ieee.org/document/8642876/ kostenfrei https://doaj.org/toc/2168-6734 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 358-367 |
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10.1109/JEDS.2019.2899646 doi (DE-627)DOAJ055558186 (DE-599)DOAJd5c411c076074bbdb5b42393906fa429 DE-627 ger DE-627 rakwb eng TK1-9971 Tingzhu Wu verfasserin aut Assessment and Optimization of the Circadian Performance of Smartphone-Based Virtual Reality Displays 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The non-visual effects of blue light in displays mean that excessive use of smartphones can disturb the human circadian rhythm. Thus, the impact of virtual reality (VR) headsets, which are worn closer to the human eye, may be even more serious. In this paper, based on non-visual parameters, such as the circadian action factor (CAF) and circadian illuminance, the circadian performance of smartphone-based VR displays is quantitatively evaluated by an evaluation system we designed. Moreover, we investigate the improvements in the circadian performance of VR headsets resulting from three practical methods for reducing the blue light content. Finally, a theoretical method of shifting the green-light wavelength of the screen close to 555 nm to optimize the CAF of VR headsets is proposed. Overall, the results of this paper are of significant value in quantifying the effects of VR displays on circadian rhythms and improving the safety of VR headsets with regard to human health. Displays virtual reality measurement optimization methods spectral analysis Electrical engineering. Electronics. Nuclear engineering Shijie Liang verfasserin aut Lili Zheng verfasserin aut Yue Lin verfasserin aut Ziquan Guo verfasserin aut Yulin Gao verfasserin aut Yijun Lu verfasserin aut Sung-Wen Huang Chen verfasserin aut Chun-Fu Lee verfasserin aut Jia-Rou Zhou verfasserin aut Hao-Chung Kuo verfasserin aut Zhong Chen verfasserin aut In IEEE Journal of the Electron Devices Society IEEE, 2014 7(2019), Seite 358-367 (DE-627)733363016 (DE-600)2696552-5 21686734 nnns volume:7 year:2019 pages:358-367 https://doi.org/10.1109/JEDS.2019.2899646 kostenfrei https://doaj.org/article/d5c411c076074bbdb5b42393906fa429 kostenfrei https://ieeexplore.ieee.org/document/8642876/ kostenfrei https://doaj.org/toc/2168-6734 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 358-367 |
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10.1109/JEDS.2019.2899646 doi (DE-627)DOAJ055558186 (DE-599)DOAJd5c411c076074bbdb5b42393906fa429 DE-627 ger DE-627 rakwb eng TK1-9971 Tingzhu Wu verfasserin aut Assessment and Optimization of the Circadian Performance of Smartphone-Based Virtual Reality Displays 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The non-visual effects of blue light in displays mean that excessive use of smartphones can disturb the human circadian rhythm. Thus, the impact of virtual reality (VR) headsets, which are worn closer to the human eye, may be even more serious. In this paper, based on non-visual parameters, such as the circadian action factor (CAF) and circadian illuminance, the circadian performance of smartphone-based VR displays is quantitatively evaluated by an evaluation system we designed. Moreover, we investigate the improvements in the circadian performance of VR headsets resulting from three practical methods for reducing the blue light content. Finally, a theoretical method of shifting the green-light wavelength of the screen close to 555 nm to optimize the CAF of VR headsets is proposed. Overall, the results of this paper are of significant value in quantifying the effects of VR displays on circadian rhythms and improving the safety of VR headsets with regard to human health. Displays virtual reality measurement optimization methods spectral analysis Electrical engineering. Electronics. Nuclear engineering Shijie Liang verfasserin aut Lili Zheng verfasserin aut Yue Lin verfasserin aut Ziquan Guo verfasserin aut Yulin Gao verfasserin aut Yijun Lu verfasserin aut Sung-Wen Huang Chen verfasserin aut Chun-Fu Lee verfasserin aut Jia-Rou Zhou verfasserin aut Hao-Chung Kuo verfasserin aut Zhong Chen verfasserin aut In IEEE Journal of the Electron Devices Society IEEE, 2014 7(2019), Seite 358-367 (DE-627)733363016 (DE-600)2696552-5 21686734 nnns volume:7 year:2019 pages:358-367 https://doi.org/10.1109/JEDS.2019.2899646 kostenfrei https://doaj.org/article/d5c411c076074bbdb5b42393906fa429 kostenfrei https://ieeexplore.ieee.org/document/8642876/ kostenfrei https://doaj.org/toc/2168-6734 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 358-367 |
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10.1109/JEDS.2019.2899646 doi (DE-627)DOAJ055558186 (DE-599)DOAJd5c411c076074bbdb5b42393906fa429 DE-627 ger DE-627 rakwb eng TK1-9971 Tingzhu Wu verfasserin aut Assessment and Optimization of the Circadian Performance of Smartphone-Based Virtual Reality Displays 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The non-visual effects of blue light in displays mean that excessive use of smartphones can disturb the human circadian rhythm. Thus, the impact of virtual reality (VR) headsets, which are worn closer to the human eye, may be even more serious. In this paper, based on non-visual parameters, such as the circadian action factor (CAF) and circadian illuminance, the circadian performance of smartphone-based VR displays is quantitatively evaluated by an evaluation system we designed. Moreover, we investigate the improvements in the circadian performance of VR headsets resulting from three practical methods for reducing the blue light content. Finally, a theoretical method of shifting the green-light wavelength of the screen close to 555 nm to optimize the CAF of VR headsets is proposed. Overall, the results of this paper are of significant value in quantifying the effects of VR displays on circadian rhythms and improving the safety of VR headsets with regard to human health. Displays virtual reality measurement optimization methods spectral analysis Electrical engineering. Electronics. Nuclear engineering Shijie Liang verfasserin aut Lili Zheng verfasserin aut Yue Lin verfasserin aut Ziquan Guo verfasserin aut Yulin Gao verfasserin aut Yijun Lu verfasserin aut Sung-Wen Huang Chen verfasserin aut Chun-Fu Lee verfasserin aut Jia-Rou Zhou verfasserin aut Hao-Chung Kuo verfasserin aut Zhong Chen verfasserin aut In IEEE Journal of the Electron Devices Society IEEE, 2014 7(2019), Seite 358-367 (DE-627)733363016 (DE-600)2696552-5 21686734 nnns volume:7 year:2019 pages:358-367 https://doi.org/10.1109/JEDS.2019.2899646 kostenfrei https://doaj.org/article/d5c411c076074bbdb5b42393906fa429 kostenfrei https://ieeexplore.ieee.org/document/8642876/ kostenfrei https://doaj.org/toc/2168-6734 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 358-367 |
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Assessment and Optimization of the Circadian Performance of Smartphone-Based Virtual Reality Displays |
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The non-visual effects of blue light in displays mean that excessive use of smartphones can disturb the human circadian rhythm. Thus, the impact of virtual reality (VR) headsets, which are worn closer to the human eye, may be even more serious. In this paper, based on non-visual parameters, such as the circadian action factor (CAF) and circadian illuminance, the circadian performance of smartphone-based VR displays is quantitatively evaluated by an evaluation system we designed. Moreover, we investigate the improvements in the circadian performance of VR headsets resulting from three practical methods for reducing the blue light content. Finally, a theoretical method of shifting the green-light wavelength of the screen close to 555 nm to optimize the CAF of VR headsets is proposed. Overall, the results of this paper are of significant value in quantifying the effects of VR displays on circadian rhythms and improving the safety of VR headsets with regard to human health. |
abstractGer |
The non-visual effects of blue light in displays mean that excessive use of smartphones can disturb the human circadian rhythm. Thus, the impact of virtual reality (VR) headsets, which are worn closer to the human eye, may be even more serious. In this paper, based on non-visual parameters, such as the circadian action factor (CAF) and circadian illuminance, the circadian performance of smartphone-based VR displays is quantitatively evaluated by an evaluation system we designed. Moreover, we investigate the improvements in the circadian performance of VR headsets resulting from three practical methods for reducing the blue light content. Finally, a theoretical method of shifting the green-light wavelength of the screen close to 555 nm to optimize the CAF of VR headsets is proposed. Overall, the results of this paper are of significant value in quantifying the effects of VR displays on circadian rhythms and improving the safety of VR headsets with regard to human health. |
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The non-visual effects of blue light in displays mean that excessive use of smartphones can disturb the human circadian rhythm. Thus, the impact of virtual reality (VR) headsets, which are worn closer to the human eye, may be even more serious. In this paper, based on non-visual parameters, such as the circadian action factor (CAF) and circadian illuminance, the circadian performance of smartphone-based VR displays is quantitatively evaluated by an evaluation system we designed. Moreover, we investigate the improvements in the circadian performance of VR headsets resulting from three practical methods for reducing the blue light content. Finally, a theoretical method of shifting the green-light wavelength of the screen close to 555 nm to optimize the CAF of VR headsets is proposed. Overall, the results of this paper are of significant value in quantifying the effects of VR displays on circadian rhythms and improving the safety of VR headsets with regard to human health. |
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