パルスコード化光刺激によるVEPを用いたメニュータイプインタフェースの基礎的検討

書誌事項

タイトル別名
  • Menu-type interface using VEP induced by coded pulse stimulus
  • パルス コードカ ヒカリ シゲキ ニ ヨル VEP オ モチイタ メニュータイプ インタフェース ノ キソテキ ケントウ

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説明

A special interface using VEP introduced by pulsed light was examined to realize its higher speed performance. It is aimed at being used by elderly people on the bed and ALS disease patients who have difficulties using instruments around them and a computer, etc.<br>VEP shows the highest level when the light source for stimulation is gazed at and shows different wave forms depending on the different stimulation mode of light source. These features show a possibility of special interface which can identify the gazed light source corresponding to the selected operation in light source array.<br>However, this function has not been put to use generally yet, because it takes a longer time to detect the operation and has low accuracy. In the system using pulse driving light source which lights one after another, the gazed menu item can be detected by the output time of VEP. But it takes a longer time than other methods and needs some improvement. We tried the speedup of detection by introducing a method of lightening a group menu method.<br>A 4×4 LED matrix menu board was made as a sample to evaluate the method experimentally. This matrix is divided into 8 groups each of which consists of 4 items, that is, 4 columns and 4 rows. The 8 groups are lit one by one and shown to a subject who is gazing at one item of the menu to get VEP. As for each item, its light source lights twice with different timings in group lighting of eight times.<br>Using a computer, the gained VEP data is correlated one by one with a subject's standards 16 data about each item which is gained beforehand. The item whose data show maximum correlation with gained data is identified as the item which the subject selected and gazed at.<br>The causes of incorrect results, for example, simultaneous lighting of neighbor items, sequential lighting of the same items, were removed. This method was improved and showed the rate of correct identification of selected item, 90% for 2 second-data.

収録刊行物

  • 人間工学

    人間工学 43 (4), 169-176, 2007

    一般社団法人 日本人間工学会

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