5678

5678

ارتباط بي درنگ مغز با كامپيوتر: استخراج ويژگي با استفاده از اطلاعات متقابل

كارشناسي ارشد

برق - بيو الكتريك

تير 1387

تير 1387

دكتر اميدوار

ABSTRACT One important component of the upper extremity neuroprostheses is the user command interface which enables the users to control the grasping and releasing of their own hand. This work presents a brain-computer interface (BCI) for on-line control of hand grasping, opening, and holding in an interactive virtual reality environment. The mental states to be discriminated are imagination of hand grasping, opening, and idle state. To minimize the classification error and to improve accuracy, identifying the most characterizing features of the observed data, is critical for many pattern recognition applications. In this work, we use mutual information to select features which jointly have largest dependency on the target class. The results of experiments on five subjects show that an average accuracy as high as 90% was achieved. The best classification rate obtained is 100%.