Existed　motion　retargeting　algorithms　mostly　focused　on　the　motion　between　the　character　and　the　environment　and　seldom　considered　the　interaction　among　the　segments　of　a　character,　especially　for　the　hand　gesture.　In　this　paper　a　new　method　for　motion　retargeting　for　the　hand　gesture　is　proposed.　Realistic　and　natural　animations　with　similar　meanings　to　the　original　can　be　produced　through　the　way.　First　many　sensitive　points　are　defined　on　the　human　body,　and　key　sensitive　points　and　secondary　sensitive　points　are　selected　through　analyzing　the　importance　of　the　sensitive　points.　Then　a　novel　method　based　on　the　relative　position　of　the　original　sensitive　points　is　proposed　to　compute　the　target　sensitive　point　position.　Finally　an　adapted　IK　solver　is　utilized　to　realize　the　retargeting　problem.　Experimental　results　show　that　the　proposed　method　dramatically　improves　the　recognition　rate　of　the　Chinese　sign　language　synthesis　system　about　30%.