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首页> 外文会议>Proceedings of the 17th IASTED international conference on robotics applications ; Proceedings of the 11th IASTED international conference on biomedical engineering >EEG ANALYSIS FOR DIGIT RECOGNITION BY TACTILE AND VTBROTACTILE STIMULATIONS
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EEG ANALYSIS FOR DIGIT RECOGNITION BY TACTILE AND VTBROTACTILE STIMULATIONS

机译：触觉和振动刺激在数字识别中的脑电分析

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Artificial rehabilitative aids to enable object recognition to the disabled as well as robot aided and telenavigating systems require sending feedback signals to the human operator to enable accurate control. This work is a preliminary step towards the development of such systems using a Brain Computer Interface. In this work Electroencephalography (EEG) responses to tactile and vibrotactile stimulations, as alternate sensory means than vision, for recognizing ten digits, 0 to 9, has been studied. During tactile stimulation subjects are instructed to palpate digits embossed on plain surfaces, while vibrotactile stimulus is provided by vibrating motors attached to the subjects' skin over their clothing in specific patterns resembling the seven segment display of digits. EEG analysis involves feature extraction and classification into the respective digit classes. Correlation between the EEG features from the two stimulations is investigated and a nonlinear correlation is found to exist between them. A maximum classification accuracy of 73.17%, average over ten digit classes and all subjects under experimentation is observed for vibrotactually stimulated EEG analysis.
机译：能够使残疾人识别物体的人工康复辅助设备以及机器人辅助和远程导航系统需要向操作员发送反馈信号，以实现精确控制。这项工作是使用脑计算机接口开发此类系统的初步步骤。在这项工作中，已经研究了脑电图（EEG）对触觉和触觉刺激的响应，作为视觉以外的另一种感觉方式，用于识别10位数（0至9）。在触觉刺激期间，指示对象触诊浮雕在平整表面上的手指，而振动触觉刺激是通过振动电机将其附着在对象皮肤上的衣服以特定模式进行的，该模式类似于手指的七段显示。脑电图分析涉及特征提取和分类到各自的数字类别。研究了两种刺激的脑电特征之间的相关性，发现它们之间存在非线性相关性。对于通过触觉刺激的脑电图分析，观察到最大分类准确度为73.17％，在十个数字类中平均，并且所有实验对象均在观察中。

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