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虚拟涌浪系统晕动症防护及训练效果研究
引用本文:何思扬,邹朋,安明,刘玉庆,王惠娟,蔡懿灵,杨辉,王林杰.虚拟涌浪系统晕动症防护及训练效果研究[J].航天医学与医学工程,2020,33(1):327-330.
作者姓名:何思扬  邹朋  安明  刘玉庆  王惠娟  蔡懿灵  杨辉  王林杰
作者单位:空军工程大学防空反导学院
基金项目:国家自然科学基金(11672026)
摘    要:目的 评估桌面式、液晶式、投影式及头戴式4种显示设备在虚拟训练中的显示效果。方法 利用虚拟吊装训练作为实验任务,选取客观绩效、生理特征和主观体验作为评估指标,综合对比4种设备共6种显示模式的虚拟训练效能。 结果 头戴式显示设备在虚拟训练中的综合评估最优,并且在客观绩效、生理特征、主观沉浸感这3项指标中得分最高,但伴随最严重的仿真病症状; 液晶式和投影式显示设备的3D显示模式比2D显示模式在虚拟训练中的评估结果更优; 显示设备的屏幕尺寸对于虚拟训练的效能影响作用不明显。结论 4种显示设备中头戴式显示设备在虚拟训练中的显示效果最优。

关 键 词:显示模式,虚拟训练,对比评估,显示设备

Research of Motion Sickness Protection and Training Effect with Virtual Swell System
He Siyang,Peng Zou,Ming An,Liu Yuqing,Wang Huijuan,Cai Yiling,Yang Hui,Wang Linjie.Research of Motion Sickness Protection and Training Effect with Virtual Swell System[J].Space Medicine & Medical Engineering,2020,33(1):327-330.
Authors:He Siyang  Peng Zou  Ming An  Liu Yuqing  Wang Huijuan  Cai Yiling  Yang Hui  Wang Linjie
Institution:Air and Missile Defense College, Air Force Engineering University
Abstract:Objective To test the feasibility of measurement and very short-term analysis of heart rate variability(HRV) based on image-based photoplethysmography (iPPG) which can realize non-contact estimation of physiological parameters. Methods High-speed camera was used to capture the video of human face of 12 male subjects, and pulse-related iPPG signals were obtained through the region of interest extraction and independent component analysis. The HRV was consequently calculated based on the iPPG signals. Results Compared with ECG signals, some of the time- and frequency-domain features of HRV were highly accurate and relevant. The correlations of NNVGR and RMSSD were the best which were all above 0.98, while that of SDNN was about 0.9; In frequency domain features, the correlations of VLF, LF, HF were all above 0.8, and the correlations of PLF, PHF, LFHFRatio were low, and individual differences were large. Conclusion The study shows that iPPG technology can be used for accurate measurement and monitoring of HRV, which is of great significance for physiological signal monitoring under non-contact conditions.
Keywords:virtual reality  swell  motion sickness  protection and training
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