High-roubustness keystroke recognition method based on acoustic spatial gradient |
| |
| Authors: | Ying LIU Kangkang HAN Zhihong QIAN |
| |
| Affiliation: | 1. School of Electronic and Information Engineering,Liaoning Technical University,Huludao 125105,China;2. School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China;3. College of Communication Engineering,Jilin University,Changchun 130022,China |
| |
| Abstract: | For the fluctuation of CFCC caused by environmental noise is the main reason for the low accuracy of keystroke detection,the spatial characteristics of adjacent between CFCC were studied,and the spatial gradient structure of CFCC based on points was established.On this basis,the effect of CFCC spatial gradient on keystroke content recognition and the selection of precise neighborhood points were studied on training and testing.Finally,a high-robustness keystroke recognition algorithm based on acoustic signals was constructed.Extensive experiments in different environments demonstrate that the proposed CFCC spatial gradient sound feature achieves great performance and the recognition accuracy is 96.15%. |
| |
| Keywords: | keystroke detection acoustic recognition CFCC spatial gradient neural network |
|
| 点击此处可从《通信学报》浏览原始摘要信息 |
|
点击此处可从《通信学报》下载全文 |
|
