目的为了研究运动想象过程中脑功能网络(brain functional network,BFN)的时频变化特征及对运动想象任务识别的影响,本文提出一种个性化皮尔逊相关系数(personalized Pearson correlation coefficient,PPCC)并用于动态BFN的构建与特征...目的为了研究运动想象过程中脑功能网络(brain functional network,BFN)的时频变化特征及对运动想象任务识别的影响,本文提出一种个性化皮尔逊相关系数(personalized Pearson correlation coefficient,PPCC)并用于动态BFN的构建与特征提取方法。方法首先,对各受试者运动想象脑电(motor imagery EEG,MI-EEG)频带范围进行两级筛选,获得其最优频带;然后,将运动想象时间段进行分割,计算各子时段最优频带MI-EEG的PPCC,并用于构建个性化的动态BFN;进而,计算各个BFN的度作为网络特征,并将多时段的网络特征串行融合获得特征向量;最后,针对BCI Competition III Data Set IIIa和BCI Competition IV Data Set 2a数据集,采用支持向量机检验特征的有效性。结果在两个公共数据集上,本文方法的10×10折交叉验证最高识别率分别为100.00%和68.84%。与基于共空间模式和基于PCC的BFN特征提取方法相比,具有明显的优势,双样本t检验的结果也充分表明了PPCC的优越性。结论与PCC相比,基于PPCC能构建出可客观地展现运动想象个性化特点的动态BFN,反映了不同受试者运动想象时大脑激活的差异性,及其在时域和频域同时呈现的动态变化特点,有效增强了特征提取的自适应性。展开更多
For Virtual Reality(VR) to be truly immersive, it needs convincing sound to match. Due to the diversity of individual's anthropometric measurements, the individualized customization technology is needed to get con...For Virtual Reality(VR) to be truly immersive, it needs convincing sound to match. Due to the diversity of individual's anthropometric measurements, the individualized customization technology is needed to get convincing sound. In this paper, we proposed a simple and effective method for modeling relationships between anthropometric measurements and Head-related Impulse Response(HRIR). Considering the relationship between anthropometric measurements and different HRIR parts is complicated, we divided the HRIRs into small segments and carried out regression analysis between anthropometric measurements and each segment to establish relationship model. The results of objective simulation and subjective test indicate that the model can generate individualize HRIRs from a series of anthropometric measurements. With the individualized HRIRs, we can get more accurate acoustic localization sense than using non-individualized HRIRs.展开更多
The flipped classroom is an emerging teaching mode which is originated from the United States and is now prevalent in many countries. It is helpful to build a more harmonious relationship between the teachers and the ...The flipped classroom is an emerging teaching mode which is originated from the United States and is now prevalent in many countries. It is helpful to build a more harmonious relationship between the teachers and the students, to enhance the students＇ self-study ability, to create a favorable learning environment, to realize the individualized teaching in class, and to improve the students＇ English ability. The study focuses on the college English classroom in China. The author tries to prove that the flipped classroom is a helpful way to improve the teaching and learning effect of college English classroom. A teaching procedure for the flipped college English classroom is designed in the hope of changing the current college English teaching condition.展开更多
文摘目的为了研究运动想象过程中脑功能网络(brain functional network,BFN)的时频变化特征及对运动想象任务识别的影响,本文提出一种个性化皮尔逊相关系数(personalized Pearson correlation coefficient,PPCC)并用于动态BFN的构建与特征提取方法。方法首先,对各受试者运动想象脑电(motor imagery EEG,MI-EEG)频带范围进行两级筛选,获得其最优频带;然后,将运动想象时间段进行分割,计算各子时段最优频带MI-EEG的PPCC,并用于构建个性化的动态BFN;进而,计算各个BFN的度作为网络特征,并将多时段的网络特征串行融合获得特征向量;最后,针对BCI Competition III Data Set IIIa和BCI Competition IV Data Set 2a数据集,采用支持向量机检验特征的有效性。结果在两个公共数据集上,本文方法的10×10折交叉验证最高识别率分别为100.00%和68.84%。与基于共空间模式和基于PCC的BFN特征提取方法相比,具有明显的优势,双样本t检验的结果也充分表明了PPCC的优越性。结论与PCC相比,基于PPCC能构建出可客观地展现运动想象个性化特点的动态BFN,反映了不同受试者运动想象时大脑激活的差异性,及其在时域和频域同时呈现的动态变化特点,有效增强了特征提取的自适应性。
基金supported by the National Key R&D Program of China(No.2017YFB1002803)the National Nature Science Foundation of China(No.61671335,No.U1736206,No.61662010)the Hubei Province Technological Innovation Major Project(No.2016AAA015)
文摘For Virtual Reality(VR) to be truly immersive, it needs convincing sound to match. Due to the diversity of individual's anthropometric measurements, the individualized customization technology is needed to get convincing sound. In this paper, we proposed a simple and effective method for modeling relationships between anthropometric measurements and Head-related Impulse Response(HRIR). Considering the relationship between anthropometric measurements and different HRIR parts is complicated, we divided the HRIRs into small segments and carried out regression analysis between anthropometric measurements and each segment to establish relationship model. The results of objective simulation and subjective test indicate that the model can generate individualize HRIRs from a series of anthropometric measurements. With the individualized HRIRs, we can get more accurate acoustic localization sense than using non-individualized HRIRs.
文摘The flipped classroom is an emerging teaching mode which is originated from the United States and is now prevalent in many countries. It is helpful to build a more harmonious relationship between the teachers and the students, to enhance the students＇ self-study ability, to create a favorable learning environment, to realize the individualized teaching in class, and to improve the students＇ English ability. The study focuses on the college English classroom in China. The author tries to prove that the flipped classroom is a helpful way to improve the teaching and learning effect of college English classroom. A teaching procedure for the flipped college English classroom is designed in the hope of changing the current college English teaching condition.
