According　to　the　portable　and　real-time　problems　on　the　driving　fatigue　prevention　based　on　EEG,　a　headband　integrated　with　Thinkgear　EEG　chip,　tri-axial　accelerometer,　gyroscope　and　Bluetooth　is　developed　to　collect　the　subject＇s　blink,　the　Attention　and　Meditation　of　the　left　prefrontal　EEG.　The　comparison　between　Attention　and　Meditation　of　the　left　prefrontal　EEG　is　discussed　at　first　when　the　subject　is　in　the　state　of　concentration,　relaxation,　fatigue　and　sleep.　The　slide　window　and　k-NN　algorithm　are　introduced　to　develop　a　new　method　for　driving　fatigue　detection　based　on　subject＇s　blink　and　the　correlation　coefficient　between　Attention　and　Meditation.　Lastly,　a　software　running　on　a　smart　device　is　developed　based　on　above　technologies,　it　can　issue　alarm　and　play　music　when　it　detects　driving　fatigue.　The　experiment　proves　that　it　has　noninvasive　and　real-time　advantages,　while　its　sensitivity　and　specificity　are　73.8　%　and　88.6　%　respectively.