With　the　development　of　virtual　reality,　the　appropriate　interaction　technology　has　become　the　focus　of　practitioners.　Today＇s　virtual　reality　interaction　is　mostly　through　the　interaction　of　traditional　electronic　devices,　such　as　handles　and　other　products,　temporarily　solve　the　problem　of　interaction,　but　also　make　the　user　from　the　virtual　world　is　taken　out,　immersion　greatly　reduced.　The　paper　uses　hand　gestures　to　interact　with　virtual　reality.　By　using　skin　detection　in　YCbCr　color　space　and　indicates　the　location　of　hand　to　determine　the　approximate　range　of　hand.　Then,　the　histograms　of　oriented　gradient　(HOG)　which　has　been　widely　used　in　target　detection　research　in　recent　years　is　used　to　extract　gesture　features,　and　applies　support　vector　machine　(SVM)　method　to　achieve　the　real-time　hand　gesture　recognition.　Finally,　experiments　prove　that　the　proposed　method　is　accurate　and　stable　in　virtual　reality　interaction.