[1] G Durantin, J F Gagnon, S Tremblay, et al.. Using near infrared spectroscopy and heart rate variability to detect mental overload [J]. Behavioural Brain Research, 2014, 259(2): 16-23.
[2] S G Hart, L E Staveland. Development of NASA-TLX (task load index): Results of empirical and theoretical research [J]. Advances in Psychology, 1988, 52(1): 139-183.
[3] W B Rouse, S L Edwards, J M Hammer. Modeling the dynamics of mental workload and human performance in complex systems [J]. IEEE Transactions on Systems, Man, & Cybernetics, 1993, 23(6): 1662-1671.
[4] D Elmes, B Kantowitz, III H Roediger. Research Methods in Psychology [M].Belmont: Cengage Learning, 2011. 221-230.
[5] Ge Liezhong, Li Hongting, Wang Duming. Engineering Psychology [M]. Beijing: Renmin University of China Press, 2012. 185-190.
[6] K Mandrick, G Derosiere, G Dray, et al.. Prefrontal cortex activity during motor tasks with additional mental load requiring attentional demand: a near-infrared spectroscopy study [J]. Neuroscience Research, 2013, 76(3): 156-162.
[7] Liu Zhongqi, Yuan Xiugan, Liu Tao, et al.. Mental workload measurement technology in aviation ergonomics [J]. Ergonomics, 2003, 9(2): 19-22.
[8] Dong Mingqing, Ma Ruishan, Cheng Hongwei. Multivariate dual task mental workload assessment discriminant analysis [J]. Space Medicine & Medical Engineering, 1997, 10(5): 358-362.
[9] E M Peck, D Afergan, B F Yuksel, et al.. Using fNIRS to Measure Mental Workload in the Real World [M]. London: Springer London, 2014. 117-139.
[10] M Strait, M Scheutz. What we can and cannot (yet) do with functional near infrared spectroscopy [J]. Frontiers in Neuroscience, 2014, 8(5): 117-125.
[11] E Kirilina, A Jelzow, A Heine, et al.. The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy [J]. Neuroimage, 2012, 61(1): 70-81.
[12] A Villringer, B Chance. Non-invasive optical spectroscopy and imaging of human brain function [J]. Trends in Neurosciences, 1997, 20(10): 435-442.
[13] Pan Jinjin, Jiao Xuejun. New application, development and aerospace prospect of FNIRS [J]. Engineering, 2013, 5(5): 47-52.
[15] Zhu Dan, Wu Guiling, Luo Qingming, et al.. Photonics diffusion for small source-detector separations of tissue [J]. Acta Optica Sinica, 2006, 25(5): 638-642.
[16] Y Gu, Y Song, A Constantinescu. Comparison of tumor vascular blood volume measured by near infrared spectroscopy and 19F NMR spectroscopy [J]. Chin Opt Lett, 2005, 3(0S): S179-S181.
[17] Xia Hui, Liu Wenqing, Zhang Yujun, et al.. An approach of open-path gas sensor based on tunable diode laser absorption spectroscopy [J]. Chin Opt Lett, 2008, 6(6): 437-440.
[18] A Villringer, B Chance. Non-invasive optical spectroscopy and imaging of human brain function [J]. Trends in Neurosciences, 1997, 20(10): 435-442.
[19] B Chance, J S Leigh, H Miyake, et al.. Comparison of time-resolved and-unresolved measurements of deoxyhemoglobin in brain [J]. Proceedings of the National Academy of Sciences, 1988, 85(14): 4971-4975.
[20] H Ayaz, P A Shewokis, S Bunce, et al.. Optical brain monitoring for operator training and mental workload assessment [J]. Neuroimage, 2012, 59(1): 36-47.
[21] J Menda, J T Hing, H Ayaz, et al.. Optical brain imaging to enhance UAV operator training, evaluation, and interface development [J]. Journal of Intelligent & Robotic Systems, 2011, 61(1): 423-443.
[22] Jiao Xuejun, Bai Jing, Chen Shanguang, et al.. Monitoring mental fatigue in analog space environment using optical brain imaging [J]. Engineering, 2013, 5(5): 53-57.
[23] C Herff, D Heger, O Fortmann, et al.. Mental workload during N-back task—quantified in the prefrontal cortex using fNIRS [J]. Frontiers in Human Neuroscience, 2013, 7(1): 935-940.
[24] D A Boas, C E Elwell, M Ferrari, et al.. Twenty years of functional near-infrared spectroscopy: introduction for the special issue [J]. NeuroImage, 2014, 85(1): 1-5.
[25] R Cabestrero, A Crespo, P Quirós. Pupillary dilation as an index of task demands [J]. Perceptual and Motor Skills, 2009, 109(3): 664-78.
