Acoustic stand-alone wireless sensor system for physically challenged peoples

M. M. Prabu, V. R. Sarma Dhulipala
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Abstract

Non Verbal Humanoid communication such as intention and reaction plays an immense role predominantly by using the information about emotion of people will communicate with one another more proficiently. In recent years the research analysis interest is enlightening within the field of human computer interaction. The advance of direct neuro-control over virtual or physical devices would improve quality of life vastly for those that suffer from impaired communication skill. In this method the Electroencephalogram (EEG) primarily based on Brain computer Interface (BCI) system is projected. The thoughts of the person are deep-mined from the brain activity of a selected tangled patient and its hold on within the style of statistics. The word frequencies for elementary crucial necessities like food, water and helping work ought to be spawned and also the knowledge is hold on in matrix representation. Already earned electroencephalogram signal and also the word rates ought to be joined and also the matched frequencies are hold on individually. Finally, the accorded frequencies corresponding words are exhibited using LCD (Liquid Crystal display) display and then the words are transformed into audible signal by means of speech synthesizer.
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为残疾人设计的声学独立无线传感器系统
非语言类人交流,如意图和反应起着巨大的作用,主要是通过使用情感信息,人们将更熟练地与他人交流。近年来,人机交互领域的研究分析兴趣颇受启发。直接神经控制虚拟或物理设备的进步将极大地改善那些沟通能力受损的人的生活质量。该方法主要基于脑机接口(BCI)系统对脑电图进行投影。这个人的思想是从一个选定的纠结的病人的大脑活动中深入挖掘出来的,它在统计学的风格中占有重要地位。基本的必需品,如食物,水和帮助工作的单词频率应该被衍生出来,而且知识也被保存在矩阵表示中。已经获得的脑电图信号和语速应该结合起来,匹配的频率也应该单独保留。最后用液晶显示器显示符合频率的对应词,再通过语音合成器转换成可听信号。
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