Electronics Optics & Control, Volume. 26, Issue 9, 45(2019)

Stereoscopic Fatigue Probability Assessment of Dynamic Bayesian NetworksL

LV Licheng and SANG Shengbo
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    References(5)

    [8] [8] KIM D, CHOI S, PARK S, et al. Stereoscopic visual fatigue measurement based on fusional response curve and eye-blinks[C]//The 17th International Conference on Digital Signal Processing, IEEE, 2011: 1-6.

    [9] [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] [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] [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] [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.

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

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    Paper Information

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    Received: Oct. 12, 2018

    Accepted: --

    Published Online: Jan. 31, 2021

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2019.09.011

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