TongueInput: Input Method by Tongue Gestures Using Optical Sensors Embedded in Mouthpiece
TongueInput: Input Method by Tongue Gestures Using Optical Sensors Embedded in Mouthpiece
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TongueInput：使用嵌入在吹嘴中的光学传感器的舌头手势输入方法
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Yuta Sugiura
中科院分区：
文献类型：
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作者：
Takuma Hashimoto;Suzanne Low;K. Fujita;Risa Usumi;Hiroshi Yanagihara;Chihiro Takahashi;M. Sugimoto;Yuta Sugiura
我们提出了一个系统来识别舌头的姿态，通过安装一个口衔嵌入一个阵列的光反射传感器，测量舌头移动时，舌头表面和上齿的后面之间的距离的变化。该系统利用传感器值的灰度图像来计算HOG特征描述符，并使用SVM来识别手势。我们进行了两个实验，以评估系统的准确性，估计4舌头的位置和4舌头的手势，其中我们获得了85.67%的位置和77.5%的手势识别率。然而，我们观察到，我们可以通过改善我们发现的问题来提高速度。
We proposed a system to recognize tongue gestures by mounting a mouthpiece embedded with an array of photo-reflective sensors, to measure the changes in distance between the tongue surface and the back of the upper teeth when the tongue moves. The system utilizes grayscale images of the sensor values to calculate the HOG feature descriptor and to use SVM to recognize the gesture. We conducted two experiments to evaluate the accuracy of the system to estimate 4 tongue positions and 4 tongue gestures, where we obtained a recognition rate of 85.67% for positions and 77.5% for gestures. However, we observed that we can improve the rate by improving the issues we discovered.