• Electronics Optics & Control
  • Vol. 26, Issue 9, 45 (2019)
LV Licheng and SANG Shengbo
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2019.09.011 Cite this Article
    LV Licheng, SANG Shengbo. Stereoscopic Fatigue Probability Assessment of Dynamic Bayesian NetworksL[J]. Electronics Optics & Control, 2019, 26(9): 45 Copy Citation Text show less
    References

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    [9] ZHAN Z H, ZHANG L, HU M, et al. Online learners reading ability detection based on eye-tracking sensors[J]. Sensors, 2016, 16(9): 1457.

    [10] LIU F, DENG D, LI P. Dynamic context-aware event re-cognition based on Markov logic networks[J]. Sensors, 2017, 17(3): 491.

    [11] ZHANG Z, LUO D Y, RASIM Y, et al. A vehicle active safety model: vehicle speed control based on driver vigilance detection using wearable EEG and sparse representation[J]. Sensors, 2016, 16(2): 242.

    [13] KIM J G, CHO J D. Simplified relative model to measure visual fatigue in a stereoscopy[C]//IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2011: 2830-2831.

    LV Licheng, SANG Shengbo. Stereoscopic Fatigue Probability Assessment of Dynamic Bayesian NetworksL[J]. Electronics Optics & Control, 2019, 26(9): 45
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