This　article　proposed　a　rehabilitative　training　monitoring　system　for　knee　osteoarthritis　patients,　by　which　the　patient　can　know　their　standardized　degree　of　movement　and　make　appropriate　adjustments.　We　designed　a　quality　assessment　system　of　human　lower　extremity　movement　which　was　based　on　ZigBee　wireless　communication　technology.　The　system　can　evaluate　the　action　standardization　of　movement　therapy.　We　mounted　ZigBee　module　with　miniature　accelerometer　sensor　on　human　lower　extremity,　by　acquiring　three-dimensional　acceleration　signal　through　the　movement　after　Haar　wavelet　transformation,　the　system　extracts　wavelet　eigenvalue　using　particle　swarm　optimization.　These　eigenvalues　will　be　supplied　in　neural　network　classifier　which　can　evaluate　the　quality　of　movement.　By　evaluating　the　exercise　quality　of　lying　straight　leg　raise　training　for　20　healthy　men　aged　24　∼　30,　the　mean　and　standard　deviations　for　these　four　training　truth　probability　(specification,　foot　over,　hold　time　is　too　short,　non-parallel　leg　lifts)　were　(89.1　±　2.0)%　,　(93.4　±　1.7)%,　(89.5　±　2.3)%,　(90.1　±　1.8)%.　Experimental　results　show　that　the　system　can　effectively　identify　the　non-standard　action　from　training　process　and　realize　the　monitoring　and　evaluation　of　lying　straight　leg　raise　training,　which　can　meet　the　demands　of　health　monitoring　system.