论文标题
使用IR-UWB雷达对舌头和相关身体部位的运动检测
Movement Detection of Tongue and Related Body Parts Using IR-UWB Radar
论文作者
论文摘要
由于冲动无线电超宽带（IR-UWB）雷达可以以高精度来检测目标，通过遮挡材料进行工作，并且在没有接触的情况下进行操作，因此它是构建无声语音界面的有吸引力的硬件解决方案，这是非基于原告的语音通信设备。随着舌头运动强烈参与发音，检测其运动对于发展无声的语音界面至关重要。在这项研究中，我们试图使用IR-UWB雷达将无形的舌头及其相关身体部位的一动不动和移动状态分类，其天线被指向参与者的下巴。使用所提出的特征提取算法和高斯混合模型 - 隐藏的马尔可夫模型，我们将四个单个参与者的看不见的舌头的两个状态分类为90％。
Because an impulse radio ultra-wideband (IR-UWB) radar can detect targets with high accuracy, work through occluding materials, and operate without contact, it is an attractive hardware solution for building silent speech interfaces, which are non-audio-based speech communication devices. As tongue movement is strongly engaged in pronunciation, detecting its movement is crucial for developing silent speech interfaces. In this study, we attempted to classify the motionless and moving states of an invisible tongue and its related body parts using an IR-UWB radar whose antennas were pointed toward the participant's chin. Using the proposed feature extraction algorithm and a Gaussian mixture model - hidden Markov model, we classified two states of the invisible tongue of four individual participants with a minimum accuracy of 90%.
