Study of a Computer interface using EED and Voice for Sight Inabillities

使用 EED 和语音解决视力障碍的计算机界面研究

• 批准号: 07808043
• 负责人: WATANABE Tsutomu
• 金额: $ 1.22万
• 依托单位: Dohto University (1996-1997)Dohto Junior College (1995)
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1995
• 资助国家: 日本
• 起止时间: 1995 至 1997
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07808043/
• 关键词: interface; EEG; Beta Wave; Wavelet; Sound; ゲーム; β波帯域; 要求意志; 事象関連電位; ウェーブレット変換; 理解度; パワー占有率; 眼球移動; 意志表示; 脳波信号; コミニュケーション

To make a practical use of the interface for sight inalbilities using eeg and voice or sound, it is important to consider the portability and usability of device. In this study, we conducted some experiments to measure the appearance of interest and intention on eeg using bi-polar inducing type eeg sensor and to estimate the efficiency of mouse control driven by sound. Following useful conclusions were drawn:1. Students in the class are interested in the content of lectures and tend to understand well when their beta wave eeg are superior. The beta wave eeg respond promptly to outer stimulus, then it shows a high possibility as a media of interface.2. The sound as a helper of pointing device should be a synthetic sound and be short, because of easy recognition. In the experiment using double size icons located on a matrix, all testes got the knack within three session of training, and efficiency as a mouse control helper was certified.3. On the eeg of game players using a joy-stick control, the control position and the position of beta wave appearance corresponds at a high probability. By the analysis using a spline-wavelet, it is certified that 15Hz beta wave content almost exceeds 30Hz.

为了利用脑电图和语音或声音来实际使用针对视力障碍的界面，重要的是要考虑设备的便携性和可用性。在本研究中，我们进行了一些实验，使用双极感应型脑电传感器测量脑电图上的兴趣和意图的表现，并估计声音驱动的鼠标控制的效率。得出以下有益的结论： 1．班上的学生对讲座内容很感兴趣，并且当他们的β波脑电图较好时往往能很好地理解。 β波脑电图对外界刺激反应迅速，显示出作为界面媒介的可能性较高。 2．作为指示设备的辅助声音应该是合成声音并且较短，因为易于识别。在使用位于矩阵上的双倍大小图标的实验中，所有睾丸在三个训练周期内都掌握了诀窍，并且作为鼠标控制助手的效率得到了认证。 3．在使用操纵杆控制的游戏玩家的脑电图上，控制位置和β波出现的位置有很大概率对应。通过使用样条小波的分析，证明15Hz β波含量几乎超过30Hz。

项目成果

T.Watanabe etc.: "Study on a Computer Interface using EEG and Voice for Sight Inabilities."(printing).

T.Watanabe 等：“利用脑电图和声音治疗视力障碍的计算机接口研究”（印刷版）。