The　conception　of　Ambient　Intelligence　(Ami)　and　an　new　interactive　display　technique　applied　to　Ami　application　are　introduced　here.　First　of　all,　the　mechanism　of　our　Ami　system　and　several　idiographic　technique　issue　is　expounded　stepwise.　For　providing　personalized　service　an　algorithm　of　face　recognition　based　on　Hidden　Markov　Model　is　researched　and　the　experimental　results　show　efficient.　In　this　way　the　user　can　be　identified　by　the　method　of　face　recognition,　and　the　system　with　a　LCS　(learning　classifier　system)　can　provide　personalized　services.　Otherwise,　we　adopt　the　wavelet　analysis　and　template　matching　technique　to　estimate　the　user＇s　several　basic　face　orientation,　thus　the　video　projector　is　driven　to　rotate　toward　the　same　direction.　In　sum,　the　study　described　here　is　likely　to　be　used　in　the　intelligent　meeting　or　teaching　environment.