Human　motion　and　posture　detection　based　on　the　multi-nodes　sensors　will　help　people　to　realize　the　law　of　body＇s　movement　through　obtaining　the　kinetic　parameters,　so　that　it　can　be　used　as　a　quantitative　analysis　tool　for　some　specific　applications　such　as　health　care,　sport　training　and　military　affairs,　etc.　Compared　with　optical　method,　inertial　sensors　for　body　motion　analysis　have　advantages　of　non-limitation　of　space　and　lower　cost.　This　paper　describes　an　inertial　sensors-based　human　motion　monitoring　system,　and　the　human　body　communication　(HBC)　was　designed　to　transmit　the　data　among　the　nodes.　According　to　the　algorithm　of　quaternion　for　data　fusion　with　the　data　of　the　inertial　sensor,　the　three-dimensional　angles　of　the　human　arm　could　be　calculated.　Then　the　data　would　be　transmitted　to　the　computer　to　reconstruct　the　posture　of　human＇s　arm.　In　the　system,　HBC　method　had　been　used,　which　utilizes　the　human　body　as　the　communication　channel　to　transmit　the　kinetic　data　for　posture　reconstructure.　Consequently,　the　circuit　of　IBC　device　based　on　capacitive　coupling　had　been　designed　in　the　paper.　The　result　shows　that　the　inertial　sensors　could　obtain　the　three-dimensional　attitude　angle　of　human＇s　arm,　and　the　IBC　device　successfully　received　the　digital　base　data　at　the　bit　rate　of　115.2　kbps.　The　vivo　experiments　were　implemented　to　verify　the　feasibility　of　the　system.　©　2015　IEEE.