近年來有許多研究利用腦機介面(brain computer interface, BCI)傳輸之裝置訓練患者改善神經相關疾病，本研究利用腦電波透過BCI控制由unity所設計之虛擬實境跳躍遊戲，受測者為作者本人，使用腦波儀讀取腦電波訊號，並使用演算法歸類腦電波訊號作為遊戲控制參數，受測者透過持續專注控制遊戲場景中角色跳躍以達到更高的正確率，透過提高正確率訓練建立注意力訓練成效評估系統，期盼未來能幫助使用者延緩腦神經功能退化。

In recent years, there have been many studies using brain computer interface (BCI) transmission devices to train patients to improve neurological diseases. In this study, electroencephalography (EEG) was used to control a virtual reality (VR) jumping game designed by unity through BCI. The subject was the author himself, and the EEG signal was read by the brain wave headset. The algorithm classified the EEG signals as control parameters of the game. The subject focused controlling continuously on the character to jump in the game to achieve a higher accuracy rate. The attention training evaluation system would be established by improving the accuracy rate training and it could help users delay the degradation of brain neural function in the future.